Overview

Dataset statistics

Number of variables202
Number of observations1000
Missing cells1090
Missing cells (%)0.5%
Total size in memory13.2 MiB
Average record size in memory13.5 KiB

Variable types

Numeric1
Text201

Alerts

year_ending has constant value ""Constant
state_province has constant value ""Constant
onsite_renewable_system_1 has constant value ""Constant
district_hot_water_use_kbtu has constant value ""Constant
estimated_data_flag_district_1 has constant value ""Constant
data_center_pue has constant value ""Constant
borough has 118 (11.8%) missing valuesMissing
latitude has 120 (12.0%) missing valuesMissing
longitude has 120 (12.0%) missing valuesMissing
community_board has 120 (12.0%) missing valuesMissing
council_district has 120 (12.0%) missing valuesMissing
census_tract has 120 (12.0%) missing valuesMissing
bin has 123 (12.3%) missing valuesMissing
bbl has 123 (12.3%) missing valuesMissing
nta has 120 (12.0%) missing valuesMissing
0 has unique valuesUnique

Reproduction

Analysis started2023-12-09 21:14:14.140881
Analysis finished2023-12-09 21:14:21.156258
Duration7.02 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T21:14:22.449651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T21:14:22.608917image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
Distinct942
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T21:14:23.039351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.982
Min length4

Characters and Unicode

Total characters6982
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique884 ?
Unique (%)88.4%

Sample

1st row7365
2nd row8139
3rd row8604
4th row8841
5th row11809
ValueCountFrequency (%)
1409173 2
 
0.2%
2558942 2
 
0.2%
1356549 2
 
0.2%
2559046 2
 
0.2%
2558974 2
 
0.2%
2562244 2
 
0.2%
2563021 2
 
0.2%
2562944 2
 
0.2%
2546297 2
 
0.2%
2038302 2
 
0.2%
Other values (932) 980
98.0%
2023-12-09T21:14:23.624624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1272
18.2%
5 876
12.5%
6 790
11.3%
1 785
11.2%
4 654
9.4%
3 613
8.8%
0 532
7.6%
8 532
7.6%
9 493
 
7.1%
7 435
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6982
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1272
18.2%
5 876
12.5%
6 790
11.3%
1 785
11.2%
4 654
9.4%
3 613
8.8%
0 532
7.6%
8 532
7.6%
9 493
 
7.1%
7 435
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6982
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1272
18.2%
5 876
12.5%
6 790
11.3%
1 785
11.2%
4 654
9.4%
3 613
8.8%
0 532
7.6%
8 532
7.6%
9 493
 
7.1%
7 435
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1272
18.2%
5 876
12.5%
6 790
11.3%
1 785
11.2%
4 654
9.4%
3 613
8.8%
0 532
7.6%
8 532
7.6%
9 493
 
7.1%
7 435
 
6.2%
Distinct942
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size75.4 KiB
2023-12-09T21:14:24.116568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length57
Median length45
Mean length20.103
Min length3

Characters and Unicode

Total characters20103
Distinct characters72
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique884 ?
Unique (%)88.4%

Sample

1st row1155
2nd row200
3rd row114
4th row733
5th rowConde Nast Building
ValueCountFrequency (%)
street 174
 
4.9%
avenue 112
 
3.1%
107
 
3.0%
west 85
 
2.4%
llc 84
 
2.3%
east 83
 
2.3%
ave 67
 
1.9%
park 65
 
1.8%
realty 45
 
1.3%
corp 38
 
1.1%
Other values (1284) 2726
76.0%
2023-12-09T21:14:24.779660image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2592
 
12.9%
e 1568
 
7.8%
t 1154
 
5.7%
a 886
 
4.4%
r 855
 
4.3%
n 825
 
4.1%
o 723
 
3.6%
i 606
 
3.0%
s 574
 
2.9%
1 482
 
2.4%
Other values (62) 9838
48.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10186
50.7%
Uppercase Letter 3908
 
19.4%
Decimal Number 2869
 
14.3%
Space Separator 2592
 
12.9%
Other Punctuation 312
 
1.6%
Dash Punctuation 179
 
0.9%
Open Punctuation 28
 
0.1%
Close Punctuation 28
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 433
11.1%
S 427
10.9%
A 342
 
8.8%
L 340
 
8.7%
E 287
 
7.3%
T 231
 
5.9%
R 224
 
5.7%
P 216
 
5.5%
W 201
 
5.1%
M 159
 
4.1%
Other values (16) 1048
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 1568
15.4%
t 1154
11.3%
a 886
 
8.7%
r 855
 
8.4%
n 825
 
8.1%
o 723
 
7.1%
i 606
 
5.9%
s 574
 
5.6%
l 409
 
4.0%
h 356
 
3.5%
Other values (15) 2230
21.9%
Decimal Number
ValueCountFrequency (%)
1 482
16.8%
0 468
16.3%
5 449
15.7%
2 348
12.1%
3 262
9.1%
4 222
7.7%
7 197
6.9%
6 158
 
5.5%
8 145
 
5.1%
9 138
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 188
60.3%
, 82
26.3%
& 29
 
9.3%
' 7
 
2.2%
/ 5
 
1.6%
! 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2592
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14094
70.1%
Common 6009
29.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1568
 
11.1%
t 1154
 
8.2%
a 886
 
6.3%
r 855
 
6.1%
n 825
 
5.9%
o 723
 
5.1%
i 606
 
4.3%
s 574
 
4.1%
C 433
 
3.1%
S 427
 
3.0%
Other values (41) 6043
42.9%
Common
ValueCountFrequency (%)
2592
43.1%
1 482
 
8.0%
0 468
 
7.8%
5 449
 
7.5%
2 348
 
5.8%
3 262
 
4.4%
4 222
 
3.7%
7 197
 
3.3%
. 188
 
3.1%
- 179
 
3.0%
Other values (11) 622
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2592
 
12.9%
e 1568
 
7.8%
t 1154
 
5.7%
a 886
 
4.4%
r 855
 
4.3%
n 825
 
4.1%
o 723
 
3.6%
i 606
 
3.0%
s 574
 
2.9%
1 482
 
2.4%
Other values (62) 9838
48.9%

year_ending
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:14:24.970781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters8
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2012-12-31T00:00:00.000
2nd row2012-12-31T00:00:00.000
3rd row2012-12-31T00:00:00.000
4th row2012-12-31T00:00:00.000
5th row2012-12-31T00:00:00.000
ValueCountFrequency (%)
2012-12-31t00:00:00.000 1000
100.0%
2023-12-09T21:14:25.259908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10000
43.5%
2 3000
 
13.0%
1 3000
 
13.0%
- 2000
 
8.7%
: 2000
 
8.7%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10000
58.8%
2 3000
 
17.6%
1 3000
 
17.6%
3 1000
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10000
45.5%
2 3000
 
13.6%
1 3000
 
13.6%
- 2000
 
9.1%
: 2000
 
9.1%
3 1000
 
4.5%
. 1000
 
4.5%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10000
43.5%
2 3000
 
13.0%
1 3000
 
13.0%
- 2000
 
8.7%
: 2000
 
8.7%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%
Distinct87
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size57.2 KiB
2023-12-09T21:14:25.526909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.46
Min length1

Characters and Unicode

Total characters1460
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st row91
2nd row90
3rd row85
4th row73
5th row73
ValueCountFrequency (%)
0 539
53.8%
78 17
 
1.7%
82 16
 
1.6%
80 16
 
1.6%
75 14
 
1.4%
73 14
 
1.4%
88 13
 
1.3%
83 13
 
1.3%
79 13
 
1.3%
81 13
 
1.3%
Other values (78) 333
33.3%
2023-12-09T21:14:25.926008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 596
40.8%
8 176
 
12.1%
7 135
 
9.2%
6 96
 
6.6%
5 85
 
5.8%
9 82
 
5.6%
4 78
 
5.3%
1 77
 
5.3%
3 70
 
4.8%
2 52
 
3.6%
Other values (11) 13
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1447
99.1%
Lowercase Letter 10
 
0.7%
Uppercase Letter 2
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 596
41.2%
8 176
 
12.2%
7 135
 
9.3%
6 96
 
6.6%
5 85
 
5.9%
9 82
 
5.7%
4 78
 
5.4%
1 77
 
5.3%
3 70
 
4.8%
2 52
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1448
99.2%
Latin 12
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 596
41.2%
8 176
 
12.2%
7 135
 
9.3%
6 96
 
6.6%
5 85
 
5.9%
9 82
 
5.7%
4 78
 
5.4%
1 77
 
5.3%
3 70
 
4.8%
2 52
 
3.6%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 596
40.8%
8 176
 
12.1%
7 135
 
9.2%
6 96
 
6.6%
5 85
 
5.8%
9 82
 
5.6%
4 78
 
5.3%
1 77
 
5.3%
3 70
 
4.8%
2 52
 
3.6%
Other values (11) 13
 
0.9%
Distinct775
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size66.1 KiB
2023-12-09T21:14:26.225591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length367
Median length7
Mean length10.516
Min length7

Characters and Unicode

Total characters10516
Distinct characters46
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique714 ?
Unique (%)71.4%

Sample

1st row1022631
2nd row1037545
3rd row1022667
4th row1037596
5th row1085682
ValueCountFrequency (%)
not 162
 
13.0%
available 162
 
13.0%
bin 55
 
4.4%
4456886,4456885,4453535,4456888 4
 
0.3%
2007979 4
 
0.3%
3
 
0.2%
building 3
 
0.2%
4440253 2
 
0.2%
1010382 2
 
0.2%
1024850 2
 
0.2%
Other values (789) 849
68.0%
2023-12-09T21:14:26.672415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1441
13.7%
1 1319
12.5%
4 1166
11.1%
2 639
 
6.1%
3 571
 
5.4%
8 561
 
5.3%
5 552
 
5.2%
6 488
 
4.6%
9 475
 
4.5%
7 473
 
4.5%
Other values (36) 2831
26.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7685
73.1%
Lowercase Letter 1703
 
16.2%
Uppercase Letter 513
 
4.9%
Other Punctuation 308
 
2.9%
Space Separator 243
 
2.3%
Dash Punctuation 48
 
0.5%
Control 12
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 329
19.3%
a 326
19.1%
i 179
10.5%
e 169
9.9%
t 167
9.8%
b 166
9.7%
o 164
9.6%
v 162
9.5%
n 9
 
0.5%
u 7
 
0.4%
Other values (8) 25
 
1.5%
Decimal Number
ValueCountFrequency (%)
0 1441
18.8%
1 1319
17.2%
4 1166
15.2%
2 639
8.3%
3 571
 
7.4%
8 561
 
7.3%
5 552
 
7.2%
6 488
 
6.4%
9 475
 
6.2%
7 473
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 223
43.5%
A 162
31.6%
B 62
 
12.1%
I 62
 
12.1%
G 1
 
0.2%
E 1
 
0.2%
P 1
 
0.2%
U 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
; 230
74.7%
# 40
 
13.0%
: 19
 
6.2%
, 18
 
5.8%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Control
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8300
78.9%
Latin 2216
 
21.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 329
14.8%
a 326
14.7%
N 223
10.1%
i 179
8.1%
e 169
7.6%
t 167
7.5%
b 166
7.5%
o 164
7.4%
v 162
7.3%
A 162
7.3%
Other values (16) 169
7.6%
Common
ValueCountFrequency (%)
0 1441
17.4%
1 1319
15.9%
4 1166
14.0%
2 639
7.7%
3 571
 
6.9%
8 561
 
6.8%
5 552
 
6.7%
6 488
 
5.9%
9 475
 
5.7%
7 473
 
5.7%
Other values (10) 615
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1441
13.7%
1 1319
12.5%
4 1166
11.1%
2 639
 
6.1%
3 571
 
5.4%
8 561
 
5.3%
5 552
 
5.2%
6 488
 
4.6%
9 475
 
4.5%
7 473
 
4.5%
Other values (36) 2831
26.9%
Distinct918
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size73.5 KiB
2023-12-09T21:14:27.155111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length30
Mean length18.149
Min length5

Characters and Unicode

Total characters18149
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique872 ?
Unique (%)87.2%

Sample

1st row1155 Avenue of the Americas
2nd row200 East 42nd St.
3rd row114 West 47th st
4th row733 Third Avenue
5th row4 Times Square
ValueCountFrequency (%)
street 302
 
8.8%
avenue 214
 
6.2%
west 132
 
3.8%
ave 120
 
3.5%
east 107
 
3.1%
st 69
 
2.0%
park 62
 
1.8%
road 46
 
1.3%
broadway 42
 
1.2%
williamsbridge 35
 
1.0%
Other values (1008) 2300
67.1%
2023-12-09T21:14:27.805079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2446
 
13.5%
e 1622
 
8.9%
t 1350
 
7.4%
r 771
 
4.2%
1 727
 
4.0%
a 668
 
3.7%
0 554
 
3.1%
n 538
 
3.0%
5 524
 
2.9%
2 504
 
2.8%
Other values (61) 8445
46.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8715
48.0%
Decimal Number 3960
21.8%
Uppercase Letter 2792
 
15.4%
Space Separator 2446
 
13.5%
Dash Punctuation 125
 
0.7%
Other Punctuation 109
 
0.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 474
17.0%
A 413
14.8%
E 307
11.0%
W 246
8.8%
R 194
 
6.9%
T 168
 
6.0%
P 155
 
5.6%
B 124
 
4.4%
M 90
 
3.2%
H 83
 
3.0%
Other values (16) 538
19.3%
Lowercase Letter
ValueCountFrequency (%)
e 1622
18.6%
t 1350
15.5%
r 771
8.8%
a 668
 
7.7%
n 538
 
6.2%
s 464
 
5.3%
i 407
 
4.7%
d 398
 
4.6%
v 388
 
4.5%
h 385
 
4.4%
Other values (15) 1724
19.8%
Decimal Number
ValueCountFrequency (%)
1 727
18.4%
0 554
14.0%
5 524
13.2%
2 504
12.7%
3 371
9.4%
4 312
7.9%
7 264
 
6.7%
9 262
 
6.6%
6 246
 
6.2%
8 196
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 96
88.1%
, 5
 
4.6%
& 4
 
3.7%
/ 2
 
1.8%
# 1
 
0.9%
; 1
 
0.9%
Space Separator
ValueCountFrequency (%)
2446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11507
63.4%
Common 6642
36.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1622
 
14.1%
t 1350
 
11.7%
r 771
 
6.7%
a 668
 
5.8%
n 538
 
4.7%
S 474
 
4.1%
s 464
 
4.0%
A 413
 
3.6%
i 407
 
3.5%
d 398
 
3.5%
Other values (41) 4402
38.3%
Common
ValueCountFrequency (%)
2446
36.8%
1 727
 
10.9%
0 554
 
8.3%
5 524
 
7.9%
2 504
 
7.6%
3 371
 
5.6%
4 312
 
4.7%
7 264
 
4.0%
9 262
 
3.9%
6 246
 
3.7%
Other values (10) 432
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2446
 
13.5%
e 1622
 
8.9%
t 1350
 
7.4%
r 771
 
4.2%
1 727
 
4.0%
a 668
 
3.7%
0 554
 
3.1%
n 538
 
3.0%
5 524
 
2.9%
2 504
 
2.8%
Other values (61) 8445
46.5%
Distinct11
Distinct (%)1.1%
Missing6
Missing (%)0.6%
Memory size68.3 KiB
2023-12-09T21:14:28.033831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length20
Median length13
Mean length13.03722334
Min length8

Characters and Unicode

Total characters12959
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.0%
available 980
49.0%
long 3
 
0.1%
island 3
 
0.1%
city 3
 
0.1%
269-271-10 2
 
0.1%
suite 2
 
0.1%
cen 2
 
0.1%
12th 2
 
0.1%
grand 2
 
0.1%
Other values (18) 23
 
1.1%
2023-12-09T21:14:28.383499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.2%
l 1965
15.2%
1008
7.8%
t 994
7.7%
e 991
7.6%
i 987
7.6%
o 987
7.6%
v 982
7.6%
A 981
7.6%
N 980
7.6%
Other values (31) 1114
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9911
76.5%
Uppercase Letter 1989
 
15.3%
Space Separator 1008
 
7.8%
Decimal Number 47
 
0.4%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
19.9%
l 1965
19.8%
t 994
10.0%
e 991
10.0%
i 987
10.0%
o 987
10.0%
v 982
9.9%
b 980
9.9%
n 13
 
0.1%
y 8
 
0.1%
Other values (8) 34
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
A 981
49.3%
N 980
49.3%
C 7
 
0.4%
P 4
 
0.2%
S 4
 
0.2%
I 3
 
0.2%
L 3
 
0.2%
G 2
 
0.1%
D 2
 
0.1%
E 1
 
0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 13
27.7%
2 10
21.3%
0 7
14.9%
3 5
 
10.6%
6 3
 
6.4%
9 3
 
6.4%
7 3
 
6.4%
5 2
 
4.3%
4 1
 
2.1%
Space Separator
ValueCountFrequency (%)
1008
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11900
91.8%
Common 1059
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.6%
l 1965
16.5%
t 994
8.4%
e 991
8.3%
i 987
8.3%
o 987
8.3%
v 982
8.3%
A 981
8.2%
N 980
8.2%
b 980
8.2%
Other values (20) 83
 
0.7%
Common
ValueCountFrequency (%)
1008
95.2%
1 13
 
1.2%
2 10
 
0.9%
0 7
 
0.7%
3 5
 
0.5%
- 4
 
0.4%
6 3
 
0.3%
9 3
 
0.3%
7 3
 
0.3%
5 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.2%
l 1965
15.2%
1008
7.8%
t 994
7.7%
e 991
7.6%
i 987
7.6%
o 987
7.6%
v 982
7.6%
A 981
7.6%
N 980
7.6%
Other values (31) 1114
8.6%

city
Text

Distinct114
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size63.7 KiB
2023-12-09T21:14:28.742379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.115
Min length2

Characters and Unicode

Total characters8115
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)8.4%

Sample

1st rowManhattan
2nd rowManhattan
3rd rowManhattan
4th rowManhattan
5th rowManhattan
ValueCountFrequency (%)
new 644
36.7%
york 637
36.3%
bronx 108
 
6.2%
brooklyn 69
 
3.9%
island 24
 
1.4%
rockaway 17
 
1.0%
city 17
 
1.0%
far 16
 
0.9%
staten 15
 
0.9%
queens 13
 
0.7%
Other values (112) 196
 
11.2%
2023-12-09T21:14:29.275718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 915
11.3%
r 846
10.4%
757
9.3%
e 737
9.1%
k 704
8.7%
N 670
 
8.3%
Y 646
 
8.0%
w 625
 
7.7%
n 296
 
3.6%
a 187
 
2.3%
Other values (40) 1732
21.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5270
64.9%
Uppercase Letter 2084
 
25.7%
Space Separator 757
 
9.3%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 915
17.4%
r 846
16.1%
e 737
14.0%
k 704
13.4%
w 625
11.9%
n 296
 
5.6%
a 187
 
3.5%
l 176
 
3.3%
t 128
 
2.4%
y 122
 
2.3%
Other values (14) 534
10.1%
Uppercase Letter
ValueCountFrequency (%)
N 670
32.1%
Y 646
31.0%
B 186
 
8.9%
R 76
 
3.6%
E 71
 
3.4%
O 65
 
3.1%
W 56
 
2.7%
K 51
 
2.4%
F 34
 
1.6%
I 32
 
1.5%
Other values (14) 197
 
9.5%
Space Separator
ValueCountFrequency (%)
757
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7354
90.6%
Common 761
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 915
12.4%
r 846
11.5%
e 737
10.0%
k 704
9.6%
N 670
9.1%
Y 646
8.8%
w 625
8.5%
n 296
 
4.0%
a 187
 
2.5%
B 186
 
2.5%
Other values (38) 1542
21.0%
Common
ValueCountFrequency (%)
757
99.5%
. 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 915
11.3%
r 846
10.4%
757
9.3%
e 737
9.1%
k 704
8.7%
N 670
 
8.3%
Y 646
 
8.0%
w 625
 
7.7%
n 296
 
3.6%
a 187
 
2.3%
Other values (40) 1732
21.3%

state_province
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T21:14:29.454806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8000
Distinct characters8
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNew York
2nd rowNew York
3rd rowNew York
4th rowNew York
5th rowNew York
ValueCountFrequency (%)
new 1000
50.0%
york 1000
50.0%
2023-12-09T21:14:29.736607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1000
12.5%
e 1000
12.5%
w 1000
12.5%
1000
12.5%
Y 1000
12.5%
o 1000
12.5%
r 1000
12.5%
k 1000
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5000
62.5%
Uppercase Letter 2000
 
25.0%
Space Separator 1000
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1000
20.0%
w 1000
20.0%
o 1000
20.0%
r 1000
20.0%
k 1000
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
Y 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7000
87.5%
Common 1000
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1000
14.3%
e 1000
14.3%
w 1000
14.3%
Y 1000
14.3%
o 1000
14.3%
r 1000
14.3%
k 1000
14.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1000
12.5%
e 1000
12.5%
w 1000
12.5%
1000
12.5%
Y 1000
12.5%
o 1000
12.5%
r 1000
12.5%
k 1000
12.5%
Distinct212
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T21:14:30.025537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.015
Min length4

Characters and Unicode

Total characters5015
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)11.5%

Sample

1st row10036
2nd row10017
3rd row10036
4th row10017
5th row10036
ValueCountFrequency (%)
10022 63
 
6.3%
10019 54
 
5.4%
10017 47
 
4.7%
10461 35
 
3.5%
10016 35
 
3.5%
10011 31
 
3.1%
10021 28
 
2.8%
10018 28
 
2.8%
10036 27
 
2.7%
10013 24
 
2.4%
Other values (202) 628
62.8%
2023-12-09T21:14:30.452902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1755
35.0%
0 1563
31.2%
2 426
 
8.5%
3 270
 
5.4%
6 230
 
4.6%
4 221
 
4.4%
5 174
 
3.5%
7 141
 
2.8%
8 122
 
2.4%
9 113
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5015
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1755
35.0%
0 1563
31.2%
2 426
 
8.5%
3 270
 
5.4%
6 230
 
4.6%
4 221
 
4.4%
5 174
 
3.5%
7 141
 
2.8%
8 122
 
2.4%
9 113
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
Common 5015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1755
35.0%
0 1563
31.2%
2 426
 
8.5%
3 270
 
5.4%
6 230
 
4.6%
4 221
 
4.4%
5 174
 
3.5%
7 141
 
2.8%
8 122
 
2.4%
9 113
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1755
35.0%
0 1563
31.2%
2 426
 
8.5%
3 270
 
5.4%
6 230
 
4.6%
4 221
 
4.4%
5 174
 
3.5%
7 141
 
2.8%
8 122
 
2.4%
9 113
 
2.3%

county
Text

Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size62.9 KiB
2023-12-09T21:14:30.707222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.293
Min length5

Characters and Unicode

Total characters7293
Distinct characters31
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNEW YORK
2nd rowNEW YORK
3rd rowNEW YORK
4th rowNEW YORK
5th rowNEW YORK
ValueCountFrequency (%)
new 637
38.7%
york 637
38.7%
bronx 111
 
6.7%
queens 83
 
5.0%
kings 77
 
4.7%
suffolk 24
 
1.5%
richmond 16
 
1.0%
nassau 15
 
0.9%
westchester 13
 
0.8%
not 9
 
0.5%
Other values (6) 24
 
1.5%
2023-12-09T21:14:31.162731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 955
13.1%
E 854
11.7%
O 795
10.9%
R 785
10.8%
K 742
10.2%
W 650
8.9%
646
8.9%
Y 637
8.7%
S 254
 
3.5%
U 129
 
1.8%
Other values (21) 846
11.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 6557
89.9%
Space Separator 646
 
8.9%
Lowercase Letter 90
 
1.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 955
14.6%
E 854
13.0%
O 795
12.1%
R 785
12.0%
K 742
11.3%
W 650
9.9%
Y 637
9.7%
S 254
 
3.9%
U 129
 
2.0%
X 112
 
1.7%
Other values (12) 644
9.8%
Lowercase Letter
ValueCountFrequency (%)
a 18
20.0%
l 18
20.0%
o 9
10.0%
t 9
10.0%
v 9
10.0%
i 9
10.0%
b 9
10.0%
e 9
10.0%
Space Separator
ValueCountFrequency (%)
646
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6647
91.1%
Common 646
 
8.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 955
14.4%
E 854
12.8%
O 795
12.0%
R 785
11.8%
K 742
11.2%
W 650
9.8%
Y 637
9.6%
S 254
 
3.8%
U 129
 
1.9%
X 112
 
1.7%
Other values (20) 734
11.0%
Common
ValueCountFrequency (%)
646
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 955
13.1%
E 854
11.7%
O 795
10.9%
R 785
10.8%
K 742
10.2%
W 650
8.9%
646
8.9%
Y 637
8.7%
S 254
 
3.5%
U 129
 
1.8%
Other values (21) 846
11.6%
Distinct912
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T21:14:31.613813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.666
Min length1

Characters and Unicode

Total characters5666
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique838 ?
Unique (%)83.8%

Sample

1st row686902
2nd row384432
3rd row572369
4th row362578
5th row1601977
ValueCountFrequency (%)
70400 4
 
0.4%
59800 4
 
0.4%
0 4
 
0.4%
130000 4
 
0.4%
75000 3
 
0.3%
57000 3
 
0.3%
85757 3
 
0.3%
104000 3
 
0.3%
55000 3
 
0.3%
77000 3
 
0.3%
Other values (902) 966
96.6%
2023-12-09T21:14:32.277704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 843
14.9%
1 712
12.6%
5 583
10.3%
7 557
9.8%
2 555
9.8%
6 534
9.4%
8 502
8.9%
4 477
8.4%
9 455
8.0%
3 448
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5666
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 843
14.9%
1 712
12.6%
5 583
10.3%
7 557
9.8%
2 555
9.8%
6 534
9.4%
8 502
8.9%
4 477
8.4%
9 455
8.0%
3 448
7.9%

Most occurring scripts

ValueCountFrequency (%)
Common 5666
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 843
14.9%
1 712
12.6%
5 583
10.3%
7 557
9.8%
2 555
9.8%
6 534
9.4%
8 502
8.9%
4 477
8.4%
9 455
8.0%
3 448
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5666
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 843
14.9%
1 712
12.6%
5 583
10.3%
7 557
9.8%
2 555
9.8%
6 534
9.4%
8 502
8.9%
4 477
8.4%
9 455
8.0%
3 448
7.9%
Distinct117
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T21:14:32.654153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.552
Min length1

Characters and Unicode

Total characters4552
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st row1982
2nd row1956
3rd row1989
4th row1961
5th row1999
ValueCountFrequency (%)
not 65
 
6.1%
available 65
 
6.1%
1930 31
 
2.9%
1929 28
 
2.6%
1925 28
 
2.6%
1928 25
 
2.3%
1939 24
 
2.3%
1963 23
 
2.2%
1952 21
 
2.0%
1927 21
 
2.0%
Other values (108) 734
68.9%
2023-12-09T21:14:33.138453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 959
21.1%
9 956
21.0%
0 406
8.9%
2 378
 
8.3%
6 220
 
4.8%
5 214
 
4.7%
3 180
 
4.0%
8 173
 
3.8%
a 130
 
2.9%
l 130
 
2.9%
Other values (11) 806
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3707
81.4%
Lowercase Letter 650
 
14.3%
Uppercase Letter 130
 
2.9%
Space Separator 65
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 959
25.9%
9 956
25.8%
0 406
11.0%
2 378
 
10.2%
6 220
 
5.9%
5 214
 
5.8%
3 180
 
4.9%
8 173
 
4.7%
7 122
 
3.3%
4 99
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
a 130
20.0%
l 130
20.0%
o 65
10.0%
b 65
10.0%
i 65
10.0%
v 65
10.0%
t 65
10.0%
e 65
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 65
50.0%
A 65
50.0%
Space Separator
ValueCountFrequency (%)
65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3772
82.9%
Latin 780
 
17.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 959
25.4%
9 956
25.3%
0 406
10.8%
2 378
 
10.0%
6 220
 
5.8%
5 214
 
5.7%
3 180
 
4.8%
8 173
 
4.6%
7 122
 
3.2%
4 99
 
2.6%
Latin
ValueCountFrequency (%)
a 130
16.7%
l 130
16.7%
N 65
8.3%
o 65
8.3%
b 65
8.3%
i 65
8.3%
v 65
8.3%
A 65
8.3%
t 65
8.3%
e 65
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 959
21.1%
9 956
21.0%
0 406
8.9%
2 378
 
8.3%
6 220
 
4.8%
5 214
 
4.7%
3 180
 
4.0%
8 173
 
3.8%
a 130
 
2.9%
l 130
 
2.9%
Other values (11) 806
17.7%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
2023-12-09T21:14:33.403921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length43
Median length19
Mean length14.236
Min length5

Characters and Unicode

Total characters14236
Distinct characters47
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowOffice
2nd rowOffice
3rd rowBank/Financial Institution
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
multifamily 433
27.8%
housing 433
27.8%
office 329
21.1%
supermarket/grocery 78
 
5.0%
retail 26
 
1.7%
other 20
 
1.3%
warehouse 15
 
1.0%
unrefrigerated 14
 
0.9%
self-storage 14
 
0.9%
school 14
 
0.9%
Other values (26) 180
11.6%
2023-12-09T21:14:33.776481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 1821
 
12.8%
f 1120
 
7.9%
l 1038
 
7.3%
u 1002
 
7.0%
e 857
 
6.0%
a 721
 
5.1%
t 703
 
4.9%
o 640
 
4.5%
n 573
 
4.0%
556
 
3.9%
Other values (37) 5205
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11766
82.6%
Uppercase Letter 1679
 
11.8%
Space Separator 556
 
3.9%
Other Punctuation 111
 
0.8%
Dash Punctuation 36
 
0.3%
Open Punctuation 30
 
0.2%
Close Punctuation 30
 
0.2%
Decimal Number 28
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 1821
15.5%
f 1120
9.5%
l 1038
 
8.8%
u 1002
 
8.5%
e 857
 
7.3%
a 721
 
6.1%
t 703
 
6.0%
o 640
 
5.4%
n 573
 
4.9%
y 535
 
4.5%
Other values (11) 2756
23.4%
Uppercase Letter
ValueCountFrequency (%)
H 462
27.5%
M 447
26.6%
O 350
20.8%
S 143
 
8.5%
G 87
 
5.2%
R 33
 
2.0%
C 33
 
2.0%
F 23
 
1.4%
U 21
 
1.3%
W 15
 
0.9%
Other values (8) 65
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 110
99.1%
: 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 14
50.0%
2 14
50.0%
Space Separator
ValueCountFrequency (%)
556
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13445
94.4%
Common 791
 
5.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 1821
13.5%
f 1120
 
8.3%
l 1038
 
7.7%
u 1002
 
7.5%
e 857
 
6.4%
a 721
 
5.4%
t 703
 
5.2%
o 640
 
4.8%
n 573
 
4.3%
y 535
 
4.0%
Other values (29) 4435
33.0%
Common
ValueCountFrequency (%)
556
70.3%
/ 110
 
13.9%
- 36
 
4.6%
( 30
 
3.8%
) 30
 
3.8%
1 14
 
1.8%
2 14
 
1.8%
: 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 1821
 
12.8%
f 1120
 
7.9%
l 1038
 
7.3%
u 1002
 
7.0%
e 857
 
6.0%
a 721
 
5.1%
t 703
 
4.9%
o 640
 
4.5%
n 573
 
4.0%
556
 
3.9%
Other values (37) 5205
36.6%
Distinct100
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T21:14:34.082410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length9
Mean length9.046
Min length9

Characters and Unicode

Total characters9046
Distinct characters36
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st row29-APR-13
2nd row29-APR-13
3rd row29-APR-13
4th row29-APR-13
5th row29-APR-13
ValueCountFrequency (%)
15-may-13 69
 
6.8%
26-apr-13 68
 
6.7%
16-apr-13 52
 
5.1%
28-may-13 46
 
4.6%
25-apr-13 31
 
3.1%
18-apr-13 30
 
3.0%
17-apr-13 29
 
2.9%
19-apr-13 29
 
2.9%
09-apr-13 28
 
2.8%
10-apr-13 26
 
2.6%
Other values (95) 602
59.6%
2023-12-09T21:14:34.515362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1992
22.0%
1 1505
16.6%
3 1084
12.0%
A 939
10.4%
R 712
 
7.9%
P 569
 
6.3%
2 438
 
4.8%
M 367
 
4.1%
0 257
 
2.8%
Y 218
 
2.4%
Other values (26) 965
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4020
44.4%
Uppercase Letter 3005
33.2%
Dash Punctuation 1992
22.0%
Space Separator 10
 
0.1%
Lowercase Letter 10
 
0.1%
Other Punctuation 9
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 939
31.2%
R 712
23.7%
P 569
18.9%
M 367
 
12.2%
Y 218
 
7.3%
E 60
 
2.0%
B 57
 
1.9%
F 57
 
1.9%
N 9
 
0.3%
J 8
 
0.3%
Other values (4) 9
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1505
37.4%
3 1084
27.0%
2 438
 
10.9%
0 257
 
6.4%
5 165
 
4.1%
6 143
 
3.6%
8 130
 
3.2%
9 110
 
2.7%
4 98
 
2.4%
7 90
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
o 1
10.0%
t 1
10.0%
v 1
10.0%
i 1
10.0%
b 1
10.0%
e 1
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
66.7%
: 3
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1992
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
66.7%
Latin 3015
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 939
31.1%
R 712
23.6%
P 569
18.9%
M 367
 
12.2%
Y 218
 
7.2%
E 60
 
2.0%
B 57
 
1.9%
F 57
 
1.9%
N 9
 
0.3%
J 8
 
0.3%
Other values (12) 19
 
0.6%
Common
ValueCountFrequency (%)
- 1992
33.0%
1 1505
25.0%
3 1084
18.0%
2 438
 
7.3%
0 257
 
4.3%
5 165
 
2.7%
6 143
 
2.4%
8 130
 
2.2%
9 110
 
1.8%
4 98
 
1.6%
Other values (4) 109
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9046
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1992
22.0%
1 1505
16.6%
3 1084
12.0%
A 939
10.4%
R 712
 
7.9%
P 569
 
6.3%
2 438
 
4.8%
M 367
 
4.1%
0 257
 
2.8%
Y 218
 
2.4%
Other values (26) 965
10.7%
Distinct79
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:14:34.792595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length57
Median length4
Mean length12.712
Min length3

Characters and Unicode

Total characters12712
Distinct characters64
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)4.1%

Sample

1st rowNone
2nd rowNone
3rd rowNone
4th rowNone
5th rowNone
ValueCountFrequency (%)
none 508
25.6%
solutions 200
 
10.1%
energy 186
 
9.4%
greenwich 129
 
6.5%
inc 109
 
5.5%
not 79
 
4.0%
available 79
 
4.0%
llc 53
 
2.7%
codegreen 35
 
1.8%
green 27
 
1.4%
Other values (142) 579
29.2%
2023-12-09T21:14:35.215039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1632
 
12.8%
n 1483
 
11.7%
o 1172
 
9.2%
985
 
7.7%
N 617
 
4.9%
i 581
 
4.6%
r 570
 
4.5%
t 541
 
4.3%
l 411
 
3.2%
s 394
 
3.1%
Other values (54) 4326
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9093
71.5%
Uppercase Letter 2322
 
18.3%
Space Separator 985
 
7.7%
Other Punctuation 244
 
1.9%
Decimal Number 54
 
0.4%
Dash Punctuation 6
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1632
17.9%
n 1483
16.3%
o 1172
12.9%
i 581
 
6.4%
r 570
 
6.3%
t 541
 
5.9%
l 411
 
4.5%
s 394
 
4.3%
a 371
 
4.1%
c 300
 
3.3%
Other values (13) 1638
18.0%
Uppercase Letter
ValueCountFrequency (%)
N 617
26.6%
S 278
12.0%
E 254
10.9%
G 229
 
9.9%
C 217
 
9.3%
I 146
 
6.3%
A 127
 
5.5%
L 122
 
5.3%
M 62
 
2.7%
T 42
 
1.8%
Other values (13) 228
 
9.8%
Decimal Number
ValueCountFrequency (%)
3 20
37.0%
0 11
20.4%
6 10
18.5%
2 4
 
7.4%
5 3
 
5.6%
1 3
 
5.6%
7 1
 
1.9%
8 1
 
1.9%
9 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 112
45.9%
. 99
40.6%
& 18
 
7.4%
/ 13
 
5.3%
' 2
 
0.8%
Space Separator
ValueCountFrequency (%)
985
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11415
89.8%
Common 1297
 
10.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1632
14.3%
n 1483
13.0%
o 1172
 
10.3%
N 617
 
5.4%
i 581
 
5.1%
r 570
 
5.0%
t 541
 
4.7%
l 411
 
3.6%
s 394
 
3.5%
a 371
 
3.3%
Other values (36) 3643
31.9%
Common
ValueCountFrequency (%)
985
75.9%
, 112
 
8.6%
. 99
 
7.6%
3 20
 
1.5%
& 18
 
1.4%
/ 13
 
1.0%
0 11
 
0.8%
6 10
 
0.8%
- 6
 
0.5%
) 4
 
0.3%
Other values (8) 19
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12712
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1632
 
12.8%
n 1483
 
11.7%
o 1172
 
9.2%
985
 
7.7%
N 617
 
4.9%
i 581
 
4.6%
r 570
 
4.5%
t 541
 
4.3%
l 411
 
3.2%
s 394
 
3.1%
Other values (54) 4326
34.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T21:14:35.402297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length25
Median length13
Mean length13.143
Min length2

Characters and Unicode

Total characters13143
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowReviewed and Approved
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 960
47.5%
available 958
47.4%
reviewed 30
 
1.5%
and 30
 
1.5%
approved 30
 
1.5%
draft 9
 
0.4%
no 3
 
0.1%
2023-12-09T21:14:35.704414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1955
14.9%
l 1916
14.6%
e 1078
8.2%
1020
7.8%
v 1018
7.7%
o 993
7.6%
A 988
7.5%
i 988
7.5%
t 969
7.4%
N 963
7.3%
Other values (9) 1255
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10133
77.1%
Uppercase Letter 1990
 
15.1%
Space Separator 1020
 
7.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1955
19.3%
l 1916
18.9%
e 1078
10.6%
v 1018
10.0%
o 993
9.8%
i 988
9.8%
t 969
9.6%
b 958
9.5%
d 90
 
0.9%
p 60
 
0.6%
Other values (4) 108
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 988
49.6%
N 963
48.4%
R 30
 
1.5%
D 9
 
0.5%
Space Separator
ValueCountFrequency (%)
1020
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12123
92.2%
Common 1020
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1955
16.1%
l 1916
15.8%
e 1078
8.9%
v 1018
8.4%
o 993
8.2%
A 988
8.1%
i 988
8.1%
t 969
8.0%
N 963
7.9%
b 958
7.9%
Other values (8) 297
 
2.4%
Common
ValueCountFrequency (%)
1020
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1955
14.9%
l 1916
14.6%
e 1078
8.2%
1020
7.8%
v 1018
7.7%
o 993
7.6%
A 988
7.5%
i 988
7.5%
t 969
7.4%
N 963
7.3%
Other values (9) 1255
9.5%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size76.1 KiB
2023-12-09T21:14:35.909512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length76
Median length17
Mean length20.813
Min length14

Characters and Unicode

Total characters20813
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNo Selection Made
2nd rowNo Selection Made
3rd rowNo Selection Made
4th rowNo Selection Made
5th rowWhole Facility Energy Consumption
ValueCountFrequency (%)
no 755
23.3%
made 755
23.3%
selection 755
23.3%
energy 241
 
7.4%
consumption 235
 
7.2%
whole 230
 
7.1%
facility 227
 
7.0%
only 8
 
0.2%
tenant 7
 
0.2%
data 6
 
0.2%
Other values (7) 25
 
0.8%
2023-12-09T21:14:36.245492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2764
13.3%
2244
10.8%
o 2222
10.7%
n 1498
 
7.2%
i 1452
 
7.0%
t 1242
 
6.0%
l 1229
 
5.9%
a 1016
 
4.9%
c 982
 
4.7%
d 764
 
3.7%
Other values (23) 5400
25.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15334
73.7%
Uppercase Letter 3232
 
15.5%
Space Separator 2244
 
10.8%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2764
18.0%
o 2222
14.5%
n 1498
9.8%
i 1452
9.5%
t 1242
8.1%
l 1229
8.0%
a 1016
 
6.6%
c 982
 
6.4%
d 764
 
5.0%
y 476
 
3.1%
Other values (8) 1689
11.0%
Uppercase Letter
ValueCountFrequency (%)
N 755
23.4%
S 755
23.4%
M 755
23.4%
C 240
 
7.4%
E 235
 
7.3%
W 232
 
7.2%
F 227
 
7.0%
O 8
 
0.2%
T 7
 
0.2%
D 6
 
0.2%
Other values (3) 12
 
0.4%
Space Separator
ValueCountFrequency (%)
2244
100.0%
Other Punctuation
ValueCountFrequency (%)
; 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18566
89.2%
Common 2247
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2764
14.9%
o 2222
12.0%
n 1498
 
8.1%
i 1452
 
7.8%
t 1242
 
6.7%
l 1229
 
6.6%
a 1016
 
5.5%
c 982
 
5.3%
d 764
 
4.1%
N 755
 
4.1%
Other values (21) 4642
25.0%
Common
ValueCountFrequency (%)
2244
99.9%
; 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2764
13.3%
2244
10.8%
o 2222
10.7%
n 1498
 
7.2%
i 1452
 
7.0%
t 1242
 
6.0%
l 1229
 
5.9%
a 1016
 
4.9%
c 982
 
4.7%
d 764
 
3.7%
Other values (23) 5400
25.9%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size95.0 KiB
2023-12-09T21:14:36.490486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length98
Median length40
Mean length40.201
Min length2

Characters and Unicode

Total characters40201
Distinct characters45
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Eligible: Current period ending over 120 days
2nd rowNot Eligible: Current period ending over 120 days
3rd rowNot Eligible: Current period ending over 120 days
4th rowNot Eligible: Rating must be 75 or above
5th rowNot Eligible: Rating must be 75 or above
ValueCountFrequency (%)
eligible 994
12.9%
not 873
11.3%
or 757
9.8%
rating 752
9.8%
must 752
9.8%
be 752
9.8%
75 752
9.8%
above 752
9.8%
the 128
 
1.7%
ending 109
 
1.4%
Other values (29) 1079
14.0%
2023-12-09T21:14:36.851108image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6700
16.7%
e 3305
 
8.2%
i 3171
 
7.9%
t 2826
 
7.0%
o 2747
 
6.8%
b 2498
 
6.2%
l 2138
 
5.3%
a 1972
 
4.9%
g 1860
 
4.6%
n 1292
 
3.2%
Other values (35) 11692
29.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27483
68.4%
Space Separator 6700
 
16.7%
Uppercase Letter 3427
 
8.5%
Decimal Number 1649
 
4.1%
Other Punctuation 942
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3305
12.0%
i 3171
11.5%
t 2826
10.3%
o 2747
10.0%
b 2498
9.1%
l 2138
7.8%
a 1972
7.2%
g 1860
6.8%
n 1292
 
4.7%
s 1095
 
4.0%
Other values (11) 4579
16.7%
Uppercase Letter
ValueCountFrequency (%)
E 1128
32.9%
N 943
27.5%
R 886
25.9%
A 70
 
2.0%
L 69
 
2.0%
G 67
 
2.0%
Y 67
 
2.0%
S 67
 
2.0%
T 67
 
2.0%
C 45
 
1.3%
Other values (4) 18
 
0.5%
Decimal Number
ValueCountFrequency (%)
7 752
45.6%
5 752
45.6%
0 50
 
3.0%
2 45
 
2.7%
1 45
 
2.7%
9 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 873
92.7%
. 64
 
6.8%
% 5
 
0.5%
Space Separator
ValueCountFrequency (%)
6700
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30910
76.9%
Common 9291
 
23.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3305
10.7%
i 3171
 
10.3%
t 2826
 
9.1%
o 2747
 
8.9%
b 2498
 
8.1%
l 2138
 
6.9%
a 1972
 
6.4%
g 1860
 
6.0%
n 1292
 
4.2%
E 1128
 
3.6%
Other values (25) 7973
25.8%
Common
ValueCountFrequency (%)
6700
72.1%
: 873
 
9.4%
7 752
 
8.1%
5 752
 
8.1%
. 64
 
0.7%
0 50
 
0.5%
2 45
 
0.5%
1 45
 
0.5%
9 5
 
0.1%
% 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40201
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6700
16.7%
e 3305
 
8.2%
i 3171
 
7.9%
t 2826
 
7.0%
o 2747
 
6.8%
b 2498
 
6.2%
l 2138
 
5.3%
a 1972
 
4.9%
g 1860
 
4.6%
n 1292
 
3.2%
Other values (35) 11692
29.1%
Distinct90
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2023-12-09T21:14:37.217555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length47
Median length19
Mean length21.258
Min length13

Characters and Unicode

Total characters21258
Distinct characters53
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)6.0%

Sample

1st rowApplication - Label Sent (25-JAN-11)
2nd rowApplication - Label Sent (25-JAN-11)
3rd rowApplication - Label Sent (25-JAN-11)
4th rowApplication - Label Sent (25-JAN-11)
5th rowApplication - Label Sent (25-MAR-11)
ValueCountFrequency (%)
available 865
26.6%
no 862
26.5%
status 862
26.5%
application 135
 
4.1%
135
 
4.1%
label 114
 
3.5%
sent 114
 
3.5%
expired 9
 
0.3%
19-sep-12 8
 
0.2%
in 6
 
0.2%
Other values (95) 147
 
4.5%
2023-12-09T21:14:37.719456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2848
13.4%
2257
 
10.6%
t 1983
 
9.3%
l 1979
 
9.3%
i 1151
 
5.4%
e 1125
 
5.3%
A 1076
 
5.1%
o 1001
 
4.7%
S 992
 
4.7%
b 979
 
4.6%
Other values (43) 5867
27.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14395
67.7%
Uppercase Letter 3391
 
16.0%
Space Separator 2257
 
10.6%
Decimal Number 540
 
2.5%
Dash Punctuation 405
 
1.9%
Open Punctuation 135
 
0.6%
Close Punctuation 135
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1076
31.7%
S 992
29.3%
N 906
26.7%
L 118
 
3.5%
E 42
 
1.2%
J 37
 
1.1%
R 32
 
0.9%
U 27
 
0.8%
P 26
 
0.8%
C 22
 
0.6%
Other values (10) 113
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 2848
19.8%
t 1983
13.8%
l 1979
13.7%
i 1151
8.0%
e 1125
 
7.8%
o 1001
 
7.0%
b 979
 
6.8%
v 873
 
6.1%
s 862
 
6.0%
u 862
 
6.0%
Other values (9) 732
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 199
36.9%
2 128
23.7%
0 64
 
11.9%
3 49
 
9.1%
4 24
 
4.4%
5 23
 
4.3%
9 16
 
3.0%
7 14
 
2.6%
6 13
 
2.4%
8 10
 
1.9%
Space Separator
ValueCountFrequency (%)
2257
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 405
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17786
83.7%
Common 3472
 
16.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2848
16.0%
t 1983
11.1%
l 1979
11.1%
i 1151
 
6.5%
e 1125
 
6.3%
A 1076
 
6.0%
o 1001
 
5.6%
S 992
 
5.6%
b 979
 
5.5%
N 906
 
5.1%
Other values (29) 3746
21.1%
Common
ValueCountFrequency (%)
2257
65.0%
- 405
 
11.7%
1 199
 
5.7%
( 135
 
3.9%
) 135
 
3.9%
2 128
 
3.7%
0 64
 
1.8%
3 49
 
1.4%
4 24
 
0.7%
5 23
 
0.7%
Other values (4) 53
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2848
13.4%
2257
 
10.6%
t 1983
 
9.3%
l 1979
 
9.3%
i 1151
 
5.4%
e 1125
 
5.3%
A 1076
 
5.1%
o 1001
 
4.7%
S 992
 
4.7%
b 979
 
4.6%
Other values (43) 5867
27.6%
Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:14:37.923580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length58
Median length13
Mean length12.919
Min length4

Characters and Unicode

Total characters12919
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st row2001, 2002, 2003, 2005, 2006, 2008, 2010
2nd row2001, 2008, 2010
3rd row2001, 2002, 2003, 2005, 2006, 2008, 2010
4th row2001, 2003, 2005, 2006, 2008, 2010
5th row2001, 2002, 2003, 2005, 2006, 2008, 2010
ValueCountFrequency (%)
not 873
42.6%
available 873
42.6%
2012 82
 
4.0%
2010 58
 
2.8%
2011 54
 
2.6%
2009 37
 
1.8%
2008 34
 
1.7%
2007 7
 
0.3%
2013 7
 
0.3%
2006 6
 
0.3%
Other values (5) 19
 
0.9%
2023-12-09T21:14:38.245312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1746
13.5%
l 1746
13.5%
1050
8.1%
N 873
 
6.8%
t 873
 
6.8%
A 873
 
6.8%
v 873
 
6.8%
i 873
 
6.8%
b 873
 
6.8%
e 873
 
6.8%
Other values (12) 2266
17.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8730
67.6%
Uppercase Letter 1746
 
13.5%
Decimal Number 1216
 
9.4%
Space Separator 1050
 
8.1%
Other Punctuation 177
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 465
38.2%
2 389
32.0%
1 260
21.4%
9 37
 
3.0%
8 34
 
2.8%
3 12
 
1.0%
7 7
 
0.6%
6 6
 
0.5%
5 5
 
0.4%
4 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 1746
20.0%
l 1746
20.0%
t 873
10.0%
v 873
10.0%
i 873
10.0%
b 873
10.0%
e 873
10.0%
o 873
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 873
50.0%
A 873
50.0%
Space Separator
ValueCountFrequency (%)
1050
100.0%
Other Punctuation
ValueCountFrequency (%)
, 177
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10476
81.1%
Common 2443
 
18.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1050
43.0%
0 465
19.0%
2 389
 
15.9%
1 260
 
10.6%
, 177
 
7.2%
9 37
 
1.5%
8 34
 
1.4%
3 12
 
0.5%
7 7
 
0.3%
6 6
 
0.2%
Other values (2) 6
 
0.2%
Latin
ValueCountFrequency (%)
a 1746
16.7%
l 1746
16.7%
N 873
8.3%
t 873
8.3%
A 873
8.3%
v 873
8.3%
i 873
8.3%
b 873
8.3%
e 873
8.3%
o 873
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1746
13.5%
l 1746
13.5%
1050
8.1%
N 873
 
6.8%
t 873
 
6.8%
A 873
 
6.8%
v 873
 
6.8%
i 873
 
6.8%
b 873
 
6.8%
e 873
 
6.8%
Other values (12) 2266
17.5%
Distinct92
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T21:14:38.595691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.492
Min length9

Characters and Unicode

Total characters12492
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)7.1%

Sample

1st row14-JAN-11
2nd row14-JAN-11
3rd row14-JAN-11
4th row14-JAN-11
5th row22-MAR-11
ValueCountFrequency (%)
not 873
46.6%
available 873
46.6%
14-sep-12 8
 
0.4%
28-sep-12 5
 
0.3%
29-nov-12 4
 
0.2%
14-jan-11 4
 
0.2%
11-sep-12 3
 
0.2%
31-jul-12 3
 
0.2%
02-jul-12 3
 
0.2%
31-may-12 2
 
0.1%
Other values (83) 95
 
5.1%
2023-12-09T21:14:39.078902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1746
14.0%
l 1746
14.0%
A 916
7.3%
N 909
7.3%
t 873
7.0%
873
7.0%
v 873
7.0%
i 873
7.0%
b 873
7.0%
e 873
7.0%
Other values (29) 1937
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8730
69.9%
Uppercase Letter 2127
 
17.0%
Space Separator 873
 
7.0%
Decimal Number 508
 
4.1%
Dash Punctuation 254
 
2.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 916
43.1%
N 909
42.7%
E 43
 
2.0%
C 29
 
1.4%
J 29
 
1.4%
P 28
 
1.3%
U 26
 
1.2%
O 26
 
1.2%
S 21
 
1.0%
D 19
 
0.9%
Other values (9) 81
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 210
41.3%
2 132
26.0%
0 56
 
11.0%
3 26
 
5.1%
9 24
 
4.7%
4 18
 
3.5%
8 15
 
3.0%
5 12
 
2.4%
6 8
 
1.6%
7 7
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 1746
20.0%
l 1746
20.0%
t 873
10.0%
v 873
10.0%
i 873
10.0%
b 873
10.0%
e 873
10.0%
o 873
10.0%
Space Separator
ValueCountFrequency (%)
873
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10857
86.9%
Common 1635
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1746
16.1%
l 1746
16.1%
A 916
8.4%
N 909
8.4%
t 873
8.0%
v 873
8.0%
i 873
8.0%
b 873
8.0%
e 873
8.0%
o 873
8.0%
Other values (17) 302
 
2.8%
Common
ValueCountFrequency (%)
873
53.4%
- 254
 
15.5%
1 210
 
12.8%
2 132
 
8.1%
0 56
 
3.4%
3 26
 
1.6%
9 24
 
1.5%
4 18
 
1.1%
8 15
 
0.9%
5 12
 
0.7%
Other values (2) 15
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1746
14.0%
l 1746
14.0%
A 916
7.3%
N 909
7.3%
t 873
7.0%
873
7.0%
v 873
7.0%
i 873
7.0%
b 873
7.0%
e 873
7.0%
Other values (29) 1937
15.5%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size57.5 KiB
2023-12-09T21:14:39.227697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.707
Min length1

Characters and Unicode

Total characters1707
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row75
2nd row75
3rd row75
4th row75
5th row75
ValueCountFrequency (%)
0 832
79.3%
75 98
 
9.3%
not 49
 
4.7%
available 49
 
4.7%
80 5
 
0.5%
85 4
 
0.4%
95 2
 
0.2%
93 2
 
0.2%
94 1
 
0.1%
90 1
 
0.1%
Other values (6) 6
 
0.6%
2023-12-09T21:14:39.473072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 838
49.1%
5 105
 
6.2%
7 99
 
5.8%
l 98
 
5.7%
a 98
 
5.7%
v 49
 
2.9%
e 49
 
2.9%
b 49
 
2.9%
i 49
 
2.9%
A 49
 
2.9%
Other values (10) 224
 
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1070
62.7%
Lowercase Letter 490
28.7%
Uppercase Letter 98
 
5.7%
Space Separator 49
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 838
78.3%
5 105
 
9.8%
7 99
 
9.3%
8 12
 
1.1%
9 7
 
0.7%
3 4
 
0.4%
4 2
 
0.2%
6 2
 
0.2%
2 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
l 98
20.0%
a 98
20.0%
v 49
10.0%
e 49
10.0%
b 49
10.0%
i 49
10.0%
t 49
10.0%
o 49
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 49
50.0%
N 49
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1119
65.6%
Latin 588
34.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 838
74.9%
5 105
 
9.4%
7 99
 
8.8%
49
 
4.4%
8 12
 
1.1%
9 7
 
0.6%
3 4
 
0.4%
4 2
 
0.2%
6 2
 
0.2%
2 1
 
0.1%
Latin
ValueCountFrequency (%)
l 98
16.7%
a 98
16.7%
v 49
8.3%
e 49
8.3%
b 49
8.3%
i 49
8.3%
A 49
8.3%
t 49
8.3%
o 49
8.3%
N 49
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 838
49.1%
5 105
 
6.2%
7 99
 
5.8%
l 98
 
5.7%
a 98
 
5.7%
v 49
 
2.9%
e 49
 
2.9%
b 49
 
2.9%
i 49
 
2.9%
A 49
 
2.9%
Other values (10) 224
 
13.1%
Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size73.6 KiB
2023-12-09T21:14:39.720948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length261
Median length13
Mean length18.219
Min length13

Characters and Unicode

Total characters18219
Distinct characters43
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowData > 120 days old<br>
2nd rowData > 120 days old<br>
3rd rowData > 120 days old<br>
4th rowData > 120 days old<br>
5th rowData > 120 days old<br>
ValueCountFrequency (%)
not 783
25.2%
available 779
25.1%
days 219
 
7.1%
120 206
 
6.6%
205
 
6.6%
old<br 185
 
6.0%
data 168
 
5.4%
than 45
 
1.5%
meter 43
 
1.4%
less 42
 
1.4%
Other values (52) 427
13.8%
2023-12-09T21:14:40.095465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2444
13.4%
2102
11.5%
l 1828
 
10.0%
t 1217
 
6.7%
e 1198
 
6.6%
o 1101
 
6.0%
b 1081
 
5.9%
i 870
 
4.8%
v 812
 
4.5%
N 776
 
4.3%
Other values (33) 4790
26.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12781
70.2%
Space Separator 2102
 
11.5%
Uppercase Letter 1838
 
10.1%
Math Symbol 803
 
4.4%
Decimal Number 685
 
3.8%
Other Punctuation 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2444
19.1%
l 1828
14.3%
t 1217
9.5%
e 1198
9.4%
o 1101
8.6%
b 1081
8.5%
i 870
 
6.8%
v 812
 
6.4%
r 542
 
4.2%
d 493
 
3.9%
Other values (12) 1195
9.3%
Uppercase Letter
ValueCountFrequency (%)
N 776
42.2%
A 775
42.2%
D 204
 
11.1%
L 41
 
2.2%
T 25
 
1.4%
O 9
 
0.5%
G 5
 
0.3%
C 1
 
0.1%
E 1
 
0.1%
P 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 247
36.1%
0 206
30.1%
2 206
30.1%
6 13
 
1.9%
5 13
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
; 1
 
10.0%
/ 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
> 509
63.4%
< 294
36.6%
Space Separator
ValueCountFrequency (%)
2102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14619
80.2%
Common 3600
 
19.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2444
16.7%
l 1828
12.5%
t 1217
8.3%
e 1198
8.2%
o 1101
7.5%
b 1081
7.4%
i 870
 
6.0%
v 812
 
5.6%
N 776
 
5.3%
A 775
 
5.3%
Other values (22) 2517
17.2%
Common
ValueCountFrequency (%)
2102
58.4%
> 509
 
14.1%
< 294
 
8.2%
1 247
 
6.9%
0 206
 
5.7%
2 206
 
5.7%
6 13
 
0.4%
5 13
 
0.4%
. 8
 
0.2%
; 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2444
13.4%
2102
11.5%
l 1828
 
10.0%
t 1217
 
6.7%
e 1198
 
6.6%
o 1101
 
6.0%
b 1081
 
5.9%
i 870
 
4.8%
v 812
 
4.5%
N 776
 
4.3%
Other values (33) 4790
26.3%
Distinct85
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size155.9 KiB
2023-12-09T21:14:40.315475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length848
Median length385
Mean length102.489
Min length13

Characters and Unicode

Total characters102489
Distinct characters70
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)5.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowWeekly operating hours is much lower than normal for Vacant Office.<br>
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
space 1427
 
8.8%
of 1335
 
8.3%
floor 990
 
6.1%
be 984
 
6.1%
total 983
 
6.1%
than 958
 
5.9%
10 513
 
3.2%
types 511
 
3.2%
must 511
 
3.2%
the 485
 
3.0%
Other values (237) 7455
46.2%
2023-12-09T21:14:40.706969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15157
 
14.8%
e 8325
 
8.1%
a 7950
 
7.8%
t 6473
 
6.3%
o 6031
 
5.9%
l 4914
 
4.8%
r 4497
 
4.4%
s 4362
 
4.3%
b 3473
 
3.4%
n 3258
 
3.2%
Other values (60) 38049
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 70227
68.5%
Space Separator 15157
 
14.8%
Uppercase Letter 8263
 
8.1%
Math Symbol 3432
 
3.3%
Other Punctuation 3263
 
3.2%
Decimal Number 2091
 
2.0%
Dash Punctuation 44
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8325
11.9%
a 7950
11.3%
t 6473
 
9.2%
o 6031
 
8.6%
l 4914
 
7.0%
r 4497
 
6.4%
s 4362
 
6.2%
b 3473
 
4.9%
n 3258
 
4.6%
c 3219
 
4.6%
Other values (14) 17725
25.2%
Uppercase Letter
ValueCountFrequency (%)
S 1461
17.7%
F 1357
16.4%
T 995
12.0%
L 826
10.0%
A 712
8.6%
O 447
 
5.4%
M 445
 
5.4%
H 440
 
5.3%
N 362
 
4.4%
D 357
 
4.3%
Other values (12) 861
10.4%
Decimal Number
ValueCountFrequency (%)
0 1004
48.0%
1 546
26.1%
5 477
22.8%
2 28
 
1.3%
3 10
 
0.5%
7 8
 
0.4%
9 6
 
0.3%
8 4
 
0.2%
6 4
 
0.2%
4 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 1221
37.4%
" 1018
31.2%
% 984
30.2%
, 27
 
0.8%
/ 9
 
0.3%
; 2
 
0.1%
& 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 1716
50.0%
> 1205
35.1%
= 511
 
14.9%
Space Separator
ValueCountFrequency (%)
15157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 78490
76.6%
Common 23999
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8325
 
10.6%
a 7950
 
10.1%
t 6473
 
8.2%
o 6031
 
7.7%
l 4914
 
6.3%
r 4497
 
5.7%
s 4362
 
5.6%
b 3473
 
4.4%
n 3258
 
4.2%
c 3219
 
4.1%
Other values (36) 25988
33.1%
Common
ValueCountFrequency (%)
15157
63.2%
< 1716
 
7.2%
. 1221
 
5.1%
> 1205
 
5.0%
" 1018
 
4.2%
0 1004
 
4.2%
% 984
 
4.1%
1 546
 
2.3%
= 511
 
2.1%
5 477
 
2.0%
Other values (14) 160
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 102489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15157
 
14.8%
e 8325
 
8.1%
a 7950
 
7.8%
t 6473
 
6.3%
o 6031
 
5.9%
l 4914
 
4.8%
r 4497
 
4.4%
s 4362
 
4.3%
b 3473
 
3.4%
n 3258
 
3.2%
Other values (60) 38049
37.1%
Distinct703
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size63.1 KiB
2023-12-09T21:14:41.148751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.53
Min length2

Characters and Unicode

Total characters7530
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique649 ?
Unique (%)64.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row3676.22
ValueCountFrequency (%)
not 245
 
19.7%
available 245
 
19.7%
400.45 2
 
0.2%
154.22 2
 
0.2%
217.95 2
 
0.2%
567.04 2
 
0.2%
248 2
 
0.2%
21.25 2
 
0.2%
515.27 2
 
0.2%
150.93 2
 
0.2%
Other values (694) 739
59.4%
2023-12-09T21:14:41.728309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 744
 
9.9%
1 518
 
6.9%
2 505
 
6.7%
a 490
 
6.5%
l 490
 
6.5%
3 394
 
5.2%
4 381
 
5.1%
6 331
 
4.4%
5 319
 
4.2%
8 307
 
4.1%
Other values (12) 3051
40.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3601
47.8%
Lowercase Letter 2450
32.5%
Other Punctuation 744
 
9.9%
Uppercase Letter 490
 
6.5%
Space Separator 245
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 518
14.4%
2 505
14.0%
3 394
10.9%
4 381
10.6%
6 331
9.2%
5 319
8.9%
8 307
8.5%
9 307
8.5%
7 292
8.1%
0 247
6.9%
Lowercase Letter
ValueCountFrequency (%)
a 490
20.0%
l 490
20.0%
i 245
10.0%
v 245
10.0%
b 245
10.0%
e 245
10.0%
o 245
10.0%
t 245
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 245
50.0%
N 245
50.0%
Other Punctuation
ValueCountFrequency (%)
. 744
100.0%
Space Separator
ValueCountFrequency (%)
245
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4590
61.0%
Latin 2940
39.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 744
16.2%
1 518
11.3%
2 505
11.0%
3 394
8.6%
4 381
8.3%
6 331
7.2%
5 319
6.9%
8 307
6.7%
9 307
6.7%
7 292
 
6.4%
Other values (2) 492
10.7%
Latin
ValueCountFrequency (%)
a 490
16.7%
l 490
16.7%
i 245
8.3%
v 245
8.3%
b 245
8.3%
e 245
8.3%
o 245
8.3%
A 245
8.3%
t 245
8.3%
N 245
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 744
 
9.9%
1 518
 
6.9%
2 505
 
6.7%
a 490
 
6.5%
l 490
 
6.5%
3 394
 
5.2%
4 381
 
5.1%
6 331
 
4.4%
5 319
 
4.2%
8 307
 
4.1%
Other values (12) 3051
40.5%
Distinct888
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size62.2 KiB
2023-12-09T21:14:42.215191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.598
Min length2

Characters and Unicode

Total characters6598
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique832 ?
Unique (%)83.2%

Sample

1st row4649.53
2nd row2744.54
3rd row3284.84
4th row3056.45
5th row11543.49
ValueCountFrequency (%)
not 55
 
5.2%
available 55
 
5.2%
154.03 3
 
0.3%
79.4 3
 
0.3%
126.05 3
 
0.3%
127.94 2
 
0.2%
74.71 2
 
0.2%
115.13 2
 
0.2%
8.62 2
 
0.2%
1760.34 2
 
0.2%
Other values (879) 926
87.8%
2023-12-09T21:14:42.834597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 939
14.2%
1 777
11.8%
2 589
8.9%
3 510
7.7%
4 502
7.6%
8 477
7.2%
5 467
7.1%
6 444
6.7%
7 427
6.5%
9 416
 
6.3%
Other values (12) 1050
15.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4944
74.9%
Other Punctuation 939
 
14.2%
Lowercase Letter 550
 
8.3%
Uppercase Letter 110
 
1.7%
Space Separator 55
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 777
15.7%
2 589
11.9%
3 510
10.3%
4 502
10.2%
8 477
9.6%
5 467
9.4%
6 444
9.0%
7 427
8.6%
9 416
8.4%
0 335
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 110
20.0%
l 110
20.0%
i 55
10.0%
b 55
10.0%
e 55
10.0%
o 55
10.0%
v 55
10.0%
t 55
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 55
50.0%
N 55
50.0%
Other Punctuation
ValueCountFrequency (%)
. 939
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5938
90.0%
Latin 660
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 939
15.8%
1 777
13.1%
2 589
9.9%
3 510
8.6%
4 502
8.5%
8 477
8.0%
5 467
7.9%
6 444
7.5%
7 427
7.2%
9 416
7.0%
Other values (2) 390
6.6%
Latin
ValueCountFrequency (%)
a 110
16.7%
l 110
16.7%
i 55
8.3%
b 55
8.3%
e 55
8.3%
o 55
8.3%
v 55
8.3%
A 55
8.3%
t 55
8.3%
N 55
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 939
14.2%
1 777
11.8%
2 589
8.9%
3 510
7.7%
4 502
7.6%
8 477
7.2%
5 467
7.1%
6 444
6.7%
7 427
6.5%
9 416
 
6.3%
Other values (12) 1050
15.9%
Distinct892
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size62.4 KiB
2023-12-09T21:14:43.274691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.801
Min length3

Characters and Unicode

Total characters6801
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique835 ?
Unique (%)83.5%

Sample

1st row4649.53
2nd row2744.54
3rd row3284.84
4th row3056.45
5th row15219.71
ValueCountFrequency (%)
not 53
 
5.0%
available 53
 
5.0%
334.95 2
 
0.2%
526.29 2
 
0.2%
346.98 2
 
0.2%
1088.45 2
 
0.2%
416.96 2
 
0.2%
615.17 2
 
0.2%
641.91 2
 
0.2%
287.93 2
 
0.2%
Other values (883) 931
88.4%
2023-12-09T21:14:43.879429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 935
13.7%
1 679
10.0%
2 626
9.2%
3 573
8.4%
4 554
8.1%
5 499
7.3%
6 498
7.3%
7 471
6.9%
9 458
6.7%
8 449
6.6%
Other values (12) 1059
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5177
76.1%
Other Punctuation 935
 
13.7%
Lowercase Letter 530
 
7.8%
Uppercase Letter 106
 
1.6%
Space Separator 53
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 679
13.1%
2 626
12.1%
3 573
11.1%
4 554
10.7%
5 499
9.6%
6 498
9.6%
7 471
9.1%
9 458
8.8%
8 449
8.7%
0 370
7.1%
Lowercase Letter
ValueCountFrequency (%)
l 106
20.0%
a 106
20.0%
b 53
10.0%
e 53
10.0%
o 53
10.0%
i 53
10.0%
v 53
10.0%
t 53
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 53
50.0%
N 53
50.0%
Other Punctuation
ValueCountFrequency (%)
. 935
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6165
90.6%
Latin 636
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 935
15.2%
1 679
11.0%
2 626
10.2%
3 573
9.3%
4 554
9.0%
5 499
8.1%
6 498
8.1%
7 471
7.6%
9 458
7.4%
8 449
7.3%
Other values (2) 423
6.9%
Latin
ValueCountFrequency (%)
l 106
16.7%
a 106
16.7%
b 53
8.3%
e 53
8.3%
o 53
8.3%
i 53
8.3%
v 53
8.3%
A 53
8.3%
t 53
8.3%
N 53
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 935
13.7%
1 679
10.0%
2 626
9.2%
3 573
8.4%
4 554
8.1%
5 499
7.3%
6 498
7.3%
7 471
6.9%
9 458
6.7%
8 449
6.6%
Other values (12) 1059
15.6%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:14:44.088141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.916
Min length6

Characters and Unicode

Total characters12916
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 988
49.7%
available 988
49.7%
377.28 4
 
0.2%
114.71 2
 
0.1%
152.97 2
 
0.1%
201.02 1
 
0.1%
125.77 1
 
0.1%
184.11 1
 
0.1%
946.04 1
 
0.1%
2023-12-09T21:14:44.414104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1976
15.3%
a 1976
15.3%
o 988
7.6%
e 988
7.6%
b 988
7.6%
i 988
7.6%
N 988
7.6%
v 988
7.6%
A 988
7.6%
988
7.6%
Other values (12) 1060
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9880
76.5%
Uppercase Letter 1976
 
15.3%
Space Separator 988
 
7.6%
Decimal Number 60
 
0.5%
Other Punctuation 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 14
23.3%
1 13
21.7%
2 9
15.0%
4 5
 
8.3%
8 5
 
8.3%
3 4
 
6.7%
5 3
 
5.0%
9 3
 
5.0%
0 3
 
5.0%
6 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
l 1976
20.0%
a 1976
20.0%
o 988
10.0%
e 988
10.0%
b 988
10.0%
i 988
10.0%
v 988
10.0%
t 988
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 988
50.0%
A 988
50.0%
Space Separator
ValueCountFrequency (%)
988
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11856
91.8%
Common 1060
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
988
93.2%
7 14
 
1.3%
1 13
 
1.2%
. 12
 
1.1%
2 9
 
0.8%
4 5
 
0.5%
8 5
 
0.5%
3 4
 
0.4%
5 3
 
0.3%
9 3
 
0.3%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
l 1976
16.7%
a 1976
16.7%
o 988
8.3%
e 988
8.3%
b 988
8.3%
i 988
8.3%
N 988
8.3%
v 988
8.3%
A 988
8.3%
t 988
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12916
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1976
15.3%
a 1976
15.3%
o 988
7.6%
e 988
7.6%
b 988
7.6%
i 988
7.6%
N 988
7.6%
v 988
7.6%
A 988
7.6%
988
7.6%
Other values (12) 1060
8.2%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T21:14:44.609525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.003
Min length9

Characters and Unicode

Total characters9003
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st row31-DEC-12
2nd row31-DEC-12
3rd row31-DEC-12
4th row31-DEC-12
5th row31-DEC-12
ValueCountFrequency (%)
31-dec-12 615
61.5%
31-jan-13 154
 
15.4%
28-feb-13 126
 
12.6%
31-mar-13 60
 
6.0%
30-nov-12 11
 
1.1%
31-dec-11 11
 
1.1%
30-nov-11 3
 
0.3%
30-apr-13 2
 
0.2%
31-dec-10 2
 
0.2%
30-sep-12 2
 
0.2%
Other values (11) 14
 
1.4%
2023-12-09T21:14:44.917995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2000
22.2%
1 1869
20.8%
3 1215
13.5%
2 769
 
8.5%
E 758
 
8.4%
C 629
 
7.0%
D 628
 
7.0%
A 222
 
2.5%
N 171
 
1.9%
J 156
 
1.7%
Other values (16) 586
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4012
44.6%
Uppercase Letter 2991
33.2%
Dash Punctuation 2000
22.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 758
25.3%
C 629
21.0%
D 628
21.0%
A 222
 
7.4%
N 171
 
5.7%
J 156
 
5.2%
F 128
 
4.3%
B 128
 
4.3%
R 64
 
2.1%
M 63
 
2.1%
Other values (8) 44
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 1869
46.6%
3 1215
30.3%
2 769
19.2%
8 126
 
3.1%
0 30
 
0.7%
9 2
 
< 0.1%
4 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6012
66.8%
Latin 2991
33.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 758
25.3%
C 629
21.0%
D 628
21.0%
A 222
 
7.4%
N 171
 
5.7%
J 156
 
5.2%
F 128
 
4.3%
B 128
 
4.3%
R 64
 
2.1%
M 63
 
2.1%
Other values (8) 44
 
1.5%
Common
ValueCountFrequency (%)
- 2000
33.3%
1 1869
31.1%
3 1215
20.2%
2 769
 
12.8%
8 126
 
2.1%
0 30
 
0.5%
9 2
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2000
22.2%
1 1869
20.8%
3 1215
13.5%
2 769
 
8.5%
E 758
 
8.4%
C 629
 
7.0%
D 628
 
7.0%
A 222
 
2.5%
N 171
 
1.9%
J 156
 
1.7%
Other values (16) 586
 
6.5%
Distinct38
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T21:14:45.148741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.009
Min length9

Characters and Unicode

Total characters9009
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st row01-JAN-00
2nd row31-DEC-12
3rd row01-JAN-00
4th row01-JAN-00
5th row01-JAN-00
ValueCountFrequency (%)
31-dec-12 443
44.2%
01-jan-00 311
31.0%
28-feb-13 35
 
3.5%
31-jan-13 35
 
3.5%
31-dec-11 22
 
2.2%
30-nov-12 22
 
2.2%
31-dec-10 19
 
1.9%
31-mar-13 17
 
1.7%
30-apr-13 11
 
1.1%
30-nov-10 10
 
1.0%
Other values (29) 77
 
7.7%
2023-12-09T21:14:45.521720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1996
22.2%
1 1615
17.9%
0 1043
11.6%
3 746
 
8.3%
2 550
 
6.1%
E 531
 
5.9%
C 500
 
5.6%
D 485
 
5.4%
A 405
 
4.5%
N 397
 
4.4%
Other values (25) 741
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3996
44.4%
Uppercase Letter 2995
33.2%
Dash Punctuation 1996
22.2%
Lowercase Letter 20
 
0.2%
Space Separator 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 531
17.7%
C 500
16.7%
D 485
16.2%
A 405
13.5%
N 397
13.3%
J 363
12.1%
O 52
 
1.7%
F 39
 
1.3%
B 39
 
1.3%
V 37
 
1.2%
Other values (9) 147
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
l 4
20.0%
b 2
10.0%
i 2
10.0%
o 2
10.0%
v 2
10.0%
t 2
10.0%
e 2
10.0%
Decimal Number
ValueCountFrequency (%)
1 1615
40.4%
0 1043
26.1%
3 746
18.7%
2 550
 
13.8%
8 37
 
0.9%
9 5
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1996
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5994
66.5%
Latin 3015
33.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 531
17.6%
C 500
16.6%
D 485
16.1%
A 405
13.4%
N 397
13.2%
J 363
12.0%
O 52
 
1.7%
F 39
 
1.3%
B 39
 
1.3%
V 37
 
1.2%
Other values (17) 167
 
5.5%
Common
ValueCountFrequency (%)
- 1996
33.3%
1 1615
26.9%
0 1043
17.4%
3 746
 
12.4%
2 550
 
9.2%
8 37
 
0.6%
9 5
 
0.1%
2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1996
22.2%
1 1615
17.9%
0 1043
11.6%
3 746
 
8.3%
2 550
 
6.1%
E 531
 
5.9%
C 500
 
5.6%
D 485
 
5.4%
A 405
 
4.5%
N 397
 
4.4%
Other values (25) 741
 
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:14:45.698943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.988
Min length5

Characters and Unicode

Total characters12988
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
183963.87 1
 
0.1%
58845 1
 
0.1%
2023-12-09T21:14:45.999221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1012
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 13
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
8 4
30.8%
3 2
15.4%
5 2
15.4%
1 1
 
7.7%
9 1
 
7.7%
6 1
 
7.7%
7 1
 
7.7%
4 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1012
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.6%
8 4
 
0.4%
3 2
 
0.2%
5 2
 
0.2%
1 1
 
0.1%
9 1
 
0.1%
6 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1012
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:14:46.172050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.983
Min length4

Characters and Unicode

Total characters12983
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
28.36 1
 
0.1%
0.23 1
 
0.1%
2023-12-09T21:14:46.455956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 7
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
3 2
28.6%
8 1
14.3%
6 1
14.3%
0 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.1%
2 2
 
0.2%
. 2
 
0.2%
3 2
 
0.2%
8 1
 
0.1%
6 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1007
7.8%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:14:46.651921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.887
Min length1

Characters and Unicode

Total characters12887
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
0 3
 
0.2%
72.16 2
 
0.1%
23561.09 1
 
0.1%
898.01 1
 
0.1%
1614.91 1
 
0.1%
233.2 1
 
0.1%
3563.5 1
 
0.1%
967.73 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T21:14:46.963940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
e 986
7.7%
Other values (12) 1055
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.5%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.7%
Decimal Number 58
 
0.5%
Other Punctuation 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 9
15.5%
2 8
13.8%
6 7
12.1%
1 7
12.1%
0 6
10.3%
7 5
8.6%
5 5
8.6%
9 5
8.6%
4 4
6.9%
8 2
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
o 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.8%
Common 1055
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
986
93.5%
. 11
 
1.0%
3 9
 
0.9%
2 8
 
0.8%
6 7
 
0.7%
1 7
 
0.7%
0 6
 
0.6%
7 5
 
0.5%
5 5
 
0.5%
9 5
 
0.5%
Other values (2) 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
o 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.7%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
e 986
7.7%
Other values (12) 1055
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:14:47.140322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.988
Min length5

Characters and Unicode

Total characters12988
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
183963.87 1
 
0.1%
58845 1
 
0.1%
2023-12-09T21:14:47.450535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1012
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 13
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
8 4
30.8%
3 2
15.4%
5 2
15.4%
1 1
 
7.7%
9 1
 
7.7%
6 1
 
7.7%
7 1
 
7.7%
4 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1012
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.6%
8 4
 
0.4%
3 2
 
0.2%
5 2
 
0.2%
1 1
 
0.1%
9 1
 
0.1%
6 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1012
7.8%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:14:47.639995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.889
Min length1

Characters and Unicode

Total characters12889
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
0 3
 
0.2%
151.88 2
 
0.1%
2036.73 1
 
0.1%
1278.4 1
 
0.1%
391.94 1
 
0.1%
1890 1
 
0.1%
490.8 1
 
0.1%
7499.91 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T21:14:47.953665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
e 986
7.6%
Other values (12) 1057
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.5%
Uppercase Letter 1972
 
15.3%
Space Separator 986
 
7.6%
Decimal Number 61
 
0.5%
Other Punctuation 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
16.4%
3 9
14.8%
8 8
13.1%
0 8
13.1%
9 7
11.5%
7 6
9.8%
4 5
8.2%
2 4
 
6.6%
5 3
 
4.9%
6 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
o 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.8%
Common 1057
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
986
93.3%
1 10
 
0.9%
. 10
 
0.9%
3 9
 
0.9%
8 8
 
0.8%
0 8
 
0.8%
9 7
 
0.7%
7 6
 
0.6%
4 5
 
0.5%
2 4
 
0.4%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
o 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.3%
l 1972
15.3%
N 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
e 986
7.6%
Other values (12) 1057
8.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:14:48.123257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:14:48.412951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct647
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T21:14:48.935201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.547
Min length1

Characters and Unicode

Total characters4547
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique437 ?
Unique (%)43.7%

Sample

1st row73.9
2nd row82.4
3rd row63.4
4th row96.8
5th row121.8
ValueCountFrequency (%)
not 46
 
4.4%
available 46
 
4.4%
57.1 7
 
0.7%
60.5 6
 
0.6%
64.4 5
 
0.5%
68.4 5
 
0.5%
78 5
 
0.5%
63.5 5
 
0.5%
72.2 5
 
0.5%
70.6 5
 
0.5%
Other values (638) 911
87.1%
2023-12-09T21:14:49.593323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 868
19.1%
1 486
10.7%
2 362
8.0%
6 331
 
7.3%
7 324
 
7.1%
8 321
 
7.1%
5 289
 
6.4%
9 283
 
6.2%
4 249
 
5.5%
3 247
 
5.4%
Other values (12) 787
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3081
67.8%
Other Punctuation 868
 
19.1%
Lowercase Letter 460
 
10.1%
Uppercase Letter 92
 
2.0%
Space Separator 46
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 486
15.8%
2 362
11.7%
6 331
10.7%
7 324
10.5%
8 321
10.4%
5 289
9.4%
9 283
9.2%
4 249
8.1%
3 247
8.0%
0 189
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
l 92
20.0%
a 92
20.0%
b 46
10.0%
e 46
10.0%
o 46
10.0%
i 46
10.0%
v 46
10.0%
t 46
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 46
50.0%
N 46
50.0%
Other Punctuation
ValueCountFrequency (%)
. 868
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3995
87.9%
Latin 552
 
12.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 868
21.7%
1 486
12.2%
2 362
9.1%
6 331
 
8.3%
7 324
 
8.1%
8 321
 
8.0%
5 289
 
7.2%
9 283
 
7.1%
4 249
 
6.2%
3 247
 
6.2%
Other values (2) 235
 
5.9%
Latin
ValueCountFrequency (%)
l 92
16.7%
a 92
16.7%
b 46
8.3%
e 46
8.3%
o 46
8.3%
i 46
8.3%
v 46
8.3%
A 46
8.3%
t 46
8.3%
N 46
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 868
19.1%
1 486
10.7%
2 362
8.0%
6 331
 
7.3%
7 324
 
7.1%
8 321
 
7.1%
5 289
 
6.4%
9 283
 
6.2%
4 249
 
5.5%
3 247
 
5.4%
Other values (12) 787
17.3%
Distinct899
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T21:14:49.948606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.592
Min length5

Characters and Unicode

Total characters9592
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique843 ?
Unique (%)84.3%

Sample

1st row50754152.4
2nd row31689381.4
3rd row36280314.8
4th row35087805
5th row195188375
ValueCountFrequency (%)
not 47
 
4.5%
available 47
 
4.5%
5227495.1 2
 
0.2%
60820862.4 2
 
0.2%
150748189 2
 
0.2%
59017617.1 2
 
0.2%
5515452 2
 
0.2%
41151186.2 2
 
0.2%
8625396.9 2
 
0.2%
12769022.8 2
 
0.2%
Other values (890) 937
89.5%
2023-12-09T21:14:50.441373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1043
10.9%
2 872
9.1%
. 848
8.8%
4 825
8.6%
3 802
8.4%
5 799
8.3%
6 798
8.3%
8 793
8.3%
7 773
8.1%
9 760
7.9%
Other values (14) 1279
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8127
84.7%
Other Punctuation 848
 
8.8%
Lowercase Letter 470
 
4.9%
Uppercase Letter 97
 
1.0%
Space Separator 47
 
0.5%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1043
12.8%
2 872
10.7%
4 825
10.2%
3 802
9.9%
5 799
9.8%
6 798
9.8%
8 793
9.8%
7 773
9.5%
9 760
9.4%
0 662
8.1%
Lowercase Letter
ValueCountFrequency (%)
a 94
20.0%
l 94
20.0%
o 47
10.0%
e 47
10.0%
b 47
10.0%
i 47
10.0%
v 47
10.0%
t 47
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 47
48.5%
A 47
48.5%
E 3
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 848
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9025
94.1%
Latin 567
 
5.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1043
11.6%
2 872
9.7%
. 848
9.4%
4 825
9.1%
3 802
8.9%
5 799
8.9%
6 798
8.8%
8 793
8.8%
7 773
8.6%
9 760
8.4%
Other values (3) 712
7.9%
Latin
ValueCountFrequency (%)
a 94
16.6%
l 94
16.6%
N 47
8.3%
o 47
8.3%
e 47
8.3%
b 47
8.3%
i 47
8.3%
v 47
8.3%
A 47
8.3%
t 47
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1043
10.9%
2 872
9.1%
. 848
8.8%
4 825
8.6%
3 802
8.4%
5 799
8.3%
6 798
8.3%
8 793
8.3%
7 773
8.1%
9 760
7.9%
Other values (14) 1279
13.3%
Distinct391
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
2023-12-09T21:14:50.944473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.943
Min length2

Characters and Unicode

Total characters7943
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique303 ?
Unique (%)30.3%

Sample

1st row119.5
2nd row145
3rd row99.3
4th row127.1
5th row156.7
ValueCountFrequency (%)
not 436
30.4%
available 436
30.4%
68 36
 
2.5%
70 20
 
1.4%
10 15
 
1.0%
104 7
 
0.5%
57 6
 
0.4%
46 5
 
0.3%
58 4
 
0.3%
108.8 3
 
0.2%
Other values (382) 468
32.6%
2023-12-09T21:14:51.555114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 872
 
11.0%
l 872
 
11.0%
N 436
 
5.5%
t 436
 
5.5%
436
 
5.5%
A 436
 
5.5%
v 436
 
5.5%
i 436
 
5.5%
b 436
 
5.5%
e 436
 
5.5%
Other values (12) 2711
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4360
54.9%
Decimal Number 1869
23.5%
Uppercase Letter 872
 
11.0%
Space Separator 436
 
5.5%
Other Punctuation 406
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 406
21.7%
2 217
11.6%
8 184
9.8%
6 165
8.8%
9 162
 
8.7%
0 156
 
8.3%
4 155
 
8.3%
3 152
 
8.1%
5 138
 
7.4%
7 134
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 872
20.0%
l 872
20.0%
t 436
10.0%
v 436
10.0%
i 436
10.0%
b 436
10.0%
e 436
10.0%
o 436
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 436
50.0%
A 436
50.0%
Space Separator
ValueCountFrequency (%)
436
100.0%
Other Punctuation
ValueCountFrequency (%)
. 406
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5232
65.9%
Common 2711
34.1%

Most frequent character per script

Common
ValueCountFrequency (%)
436
16.1%
1 406
15.0%
. 406
15.0%
2 217
8.0%
8 184
6.8%
6 165
 
6.1%
9 162
 
6.0%
0 156
 
5.8%
4 155
 
5.7%
3 152
 
5.6%
Other values (2) 272
10.0%
Latin
ValueCountFrequency (%)
a 872
16.7%
l 872
16.7%
N 436
8.3%
t 436
8.3%
A 436
8.3%
v 436
8.3%
i 436
8.3%
b 436
8.3%
e 436
8.3%
o 436
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7943
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 872
 
11.0%
l 872
 
11.0%
N 436
 
5.5%
t 436
 
5.5%
436
 
5.5%
A 436
 
5.5%
v 436
 
5.5%
i 436
 
5.5%
b 436
 
5.5%
e 436
 
5.5%
Other values (12) 2711
34.1%
Distinct117
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:14:51.910955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length2.005
Min length1

Characters and Unicode

Total characters2005
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)11.1%

Sample

1st row94.5
2nd row108.9
3rd row75.2
4th row95.3
5th row119.6
ValueCountFrequency (%)
0 832
79.3%
available 49
 
4.7%
not 49
 
4.7%
206.2 2
 
0.2%
46.7 2
 
0.2%
202.5 2
 
0.2%
211.6 2
 
0.2%
182.1 1
 
0.1%
551.8 1
 
0.1%
204.2 1
 
0.1%
Other values (108) 108
 
10.3%
2023-12-09T21:14:52.387711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 881
43.9%
. 107
 
5.3%
l 98
 
4.9%
a 98
 
4.9%
2 87
 
4.3%
1 66
 
3.3%
N 49
 
2.4%
b 49
 
2.4%
e 49
 
2.4%
i 49
 
2.4%
Other values (12) 472
23.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1261
62.9%
Lowercase Letter 490
 
24.4%
Other Punctuation 107
 
5.3%
Uppercase Letter 98
 
4.9%
Space Separator 49
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 881
69.9%
2 87
 
6.9%
1 66
 
5.2%
5 38
 
3.0%
6 37
 
2.9%
9 36
 
2.9%
8 32
 
2.5%
3 30
 
2.4%
4 28
 
2.2%
7 26
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
l 98
20.0%
a 98
20.0%
b 49
10.0%
e 49
10.0%
i 49
10.0%
v 49
10.0%
t 49
10.0%
o 49
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 49
50.0%
A 49
50.0%
Other Punctuation
ValueCountFrequency (%)
. 107
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1417
70.7%
Latin 588
29.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 881
62.2%
. 107
 
7.6%
2 87
 
6.1%
1 66
 
4.7%
49
 
3.5%
5 38
 
2.7%
6 37
 
2.6%
9 36
 
2.5%
8 32
 
2.3%
3 30
 
2.1%
Other values (2) 54
 
3.8%
Latin
ValueCountFrequency (%)
l 98
16.7%
a 98
16.7%
N 49
8.3%
b 49
8.3%
e 49
8.3%
i 49
8.3%
v 49
8.3%
A 49
8.3%
t 49
8.3%
o 49
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 881
43.9%
. 107
 
5.3%
l 98
 
4.9%
a 98
 
4.9%
2 87
 
4.3%
1 66
 
3.3%
N 49
 
2.4%
b 49
 
2.4%
e 49
 
2.4%
i 49
 
2.4%
Other values (12) 472
23.5%
Distinct678
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T21:14:52.908718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.574
Min length1

Characters and Unicode

Total characters4574
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique481 ?
Unique (%)48.1%

Sample

1st row74.7
2nd row83.4
3rd row64.9
4th row102.6
5th row123.5
ValueCountFrequency (%)
not 47
 
4.5%
available 47
 
4.5%
64.6 6
 
0.6%
72.3 6
 
0.6%
88.8 5
 
0.5%
88.3 5
 
0.5%
70.2 5
 
0.5%
71.7 4
 
0.4%
70.7 4
 
0.4%
70.3 4
 
0.4%
Other values (669) 914
87.3%
2023-12-09T21:14:53.550502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 862
18.8%
1 493
10.8%
7 351
7.7%
6 325
 
7.1%
2 312
 
6.8%
8 311
 
6.8%
9 299
 
6.5%
5 285
 
6.2%
4 262
 
5.7%
3 254
 
5.6%
Other values (12) 820
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3101
67.8%
Other Punctuation 862
 
18.8%
Lowercase Letter 470
 
10.3%
Uppercase Letter 94
 
2.1%
Space Separator 47
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 493
15.9%
7 351
11.3%
6 325
10.5%
2 312
10.1%
8 311
10.0%
9 299
9.6%
5 285
9.2%
4 262
8.4%
3 254
8.2%
0 209
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 94
20.0%
a 94
20.0%
i 47
10.0%
b 47
10.0%
e 47
10.0%
o 47
10.0%
v 47
10.0%
t 47
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 47
50.0%
N 47
50.0%
Other Punctuation
ValueCountFrequency (%)
. 862
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4010
87.7%
Latin 564
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 862
21.5%
1 493
12.3%
7 351
8.8%
6 325
 
8.1%
2 312
 
7.8%
8 311
 
7.8%
9 299
 
7.5%
5 285
 
7.1%
4 262
 
6.5%
3 254
 
6.3%
Other values (2) 256
 
6.4%
Latin
ValueCountFrequency (%)
l 94
16.7%
a 94
16.7%
i 47
8.3%
b 47
8.3%
e 47
8.3%
o 47
8.3%
v 47
8.3%
A 47
8.3%
t 47
8.3%
N 47
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 862
18.8%
1 493
10.8%
7 351
7.7%
6 325
 
7.1%
2 312
 
6.8%
8 311
 
6.8%
9 299
 
6.5%
5 285
 
6.2%
4 262
 
5.7%
3 254
 
5.6%
Other values (12) 820
17.9%
Distinct898
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size65.7 KiB
2023-12-09T21:14:53.864533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.18
Min length1

Characters and Unicode

Total characters10180
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique841 ?
Unique (%)84.1%

Sample

1st row43012127.28
2nd row16245393.53
3rd row28151569.04
4th row19164682.16
5th row106373332
ValueCountFrequency (%)
not 47
 
4.5%
available 47
 
4.5%
1220397.34 2
 
0.2%
2432463.56 2
 
0.2%
1348872.78 2
 
0.2%
16396451.91 2
 
0.2%
1386773.5 2
 
0.2%
1170626.49 2
 
0.2%
941957.66 2
 
0.2%
3340158.2 2
 
0.2%
Other values (889) 937
89.5%
2023-12-09T21:14:54.302860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1084
10.6%
2 978
9.6%
. 929
9.1%
4 868
8.5%
7 867
8.5%
3 865
8.5%
6 855
8.4%
9 832
8.2%
5 832
8.2%
8 820
8.1%
Other values (12) 1250
12.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8640
84.9%
Other Punctuation 929
 
9.1%
Lowercase Letter 470
 
4.6%
Uppercase Letter 94
 
0.9%
Space Separator 47
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1084
12.5%
2 978
11.3%
4 868
10.0%
7 867
10.0%
3 865
10.0%
6 855
9.9%
9 832
9.6%
5 832
9.6%
8 820
9.5%
0 639
7.4%
Lowercase Letter
ValueCountFrequency (%)
l 94
20.0%
a 94
20.0%
t 47
10.0%
v 47
10.0%
o 47
10.0%
e 47
10.0%
b 47
10.0%
i 47
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 47
50.0%
N 47
50.0%
Other Punctuation
ValueCountFrequency (%)
. 929
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9616
94.5%
Latin 564
 
5.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1084
11.3%
2 978
10.2%
. 929
9.7%
4 868
9.0%
7 867
9.0%
3 865
9.0%
6 855
8.9%
9 832
8.7%
5 832
8.7%
8 820
8.5%
Other values (2) 686
7.1%
Latin
ValueCountFrequency (%)
l 94
16.7%
a 94
16.7%
t 47
8.3%
v 47
8.3%
A 47
8.3%
o 47
8.3%
e 47
8.3%
b 47
8.3%
i 47
8.3%
N 47
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1084
10.6%
2 978
9.6%
. 929
9.1%
4 868
8.5%
7 867
8.5%
3 865
8.5%
6 855
8.4%
9 832
8.2%
5 832
8.2%
8 820
8.1%
Other values (12) 1250
12.3%
Distinct898
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size63.9 KiB
2023-12-09T21:14:54.664211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.346
Min length1

Characters and Unicode

Total characters8346
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique841 ?
Unique (%)84.1%

Sample

1st row12606133.4
2nd row4761252.5
3rd row8250752.9
4th row5616847.1
5th row31176240.3
ValueCountFrequency (%)
not 47
 
4.5%
available 47
 
4.5%
395332 2
 
0.2%
6776185.5 2
 
0.2%
11650487.7 2
 
0.2%
145573.1 2
 
0.2%
366186.5 2
 
0.2%
4172567.2 2
 
0.2%
211301.8 2
 
0.2%
15908158 2
 
0.2%
Other values (889) 937
89.5%
2023-12-09T21:14:55.157045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 825
9.9%
2 820
9.8%
3 798
9.6%
4 728
8.7%
5 726
8.7%
6 674
8.1%
7 671
8.0%
. 667
8.0%
8 615
7.4%
0 606
7.3%
Other values (12) 1216
14.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7068
84.7%
Other Punctuation 667
 
8.0%
Lowercase Letter 470
 
5.6%
Uppercase Letter 94
 
1.1%
Space Separator 47
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 825
11.7%
2 820
11.6%
3 798
11.3%
4 728
10.3%
5 726
10.3%
6 674
9.5%
7 671
9.5%
8 615
8.7%
0 606
8.6%
9 605
8.6%
Lowercase Letter
ValueCountFrequency (%)
l 94
20.0%
a 94
20.0%
i 47
10.0%
b 47
10.0%
e 47
10.0%
o 47
10.0%
v 47
10.0%
t 47
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 47
50.0%
N 47
50.0%
Other Punctuation
ValueCountFrequency (%)
. 667
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7782
93.2%
Latin 564
 
6.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 825
10.6%
2 820
10.5%
3 798
10.3%
4 728
9.4%
5 726
9.3%
6 674
8.7%
7 671
8.6%
. 667
8.6%
8 615
7.9%
0 606
7.8%
Other values (2) 652
8.4%
Latin
ValueCountFrequency (%)
l 94
16.7%
a 94
16.7%
i 47
8.3%
b 47
8.3%
e 47
8.3%
o 47
8.3%
v 47
8.3%
A 47
8.3%
t 47
8.3%
N 47
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8346
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 825
9.9%
2 820
9.8%
3 798
9.6%
4 728
8.7%
5 726
8.7%
6 674
8.1%
7 671
8.0%
. 667
8.0%
8 615
7.4%
0 606
7.3%
Other values (12) 1216
14.6%
Distinct683
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2023-12-09T21:14:55.542446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.711
Min length1

Characters and Unicode

Total characters9711
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique628 ?
Unique (%)62.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row69101749.39
ValueCountFrequency (%)
not 260
 
20.6%
available 260
 
20.6%
0 5
 
0.4%
153500 3
 
0.2%
12162148.39 2
 
0.2%
475435.29 2
 
0.2%
362790.32 2
 
0.2%
1810740.47 2
 
0.2%
6619731.85 2
 
0.2%
4290800 2
 
0.2%
Other values (674) 720
57.1%
2023-12-09T21:14:56.052485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 697
 
7.2%
3 646
 
6.7%
1 630
 
6.5%
2 613
 
6.3%
5 592
 
6.1%
4 585
 
6.0%
8 525
 
5.4%
7 520
 
5.4%
a 520
 
5.4%
l 520
 
5.4%
Other values (14) 3863
39.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5810
59.8%
Lowercase Letter 2600
26.8%
Uppercase Letter 522
 
5.4%
Other Punctuation 517
 
5.3%
Space Separator 260
 
2.7%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 697
12.0%
3 646
11.1%
1 630
10.8%
2 613
10.6%
5 592
10.2%
4 585
10.1%
8 525
9.0%
7 520
9.0%
6 509
8.8%
9 493
8.5%
Lowercase Letter
ValueCountFrequency (%)
a 520
20.0%
l 520
20.0%
o 260
10.0%
e 260
10.0%
b 260
10.0%
i 260
10.0%
v 260
10.0%
t 260
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 260
49.8%
A 260
49.8%
E 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 517
100.0%
Space Separator
ValueCountFrequency (%)
260
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6589
67.9%
Latin 3122
32.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 697
10.6%
3 646
9.8%
1 630
9.6%
2 613
9.3%
5 592
9.0%
4 585
8.9%
8 525
8.0%
7 520
7.9%
. 517
7.8%
6 509
7.7%
Other values (3) 755
11.5%
Latin
ValueCountFrequency (%)
a 520
16.7%
l 520
16.7%
N 260
8.3%
o 260
8.3%
e 260
8.3%
b 260
8.3%
i 260
8.3%
v 260
8.3%
A 260
8.3%
t 260
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9711
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 697
 
7.2%
3 646
 
6.7%
1 630
 
6.5%
2 613
 
6.3%
5 592
 
6.1%
4 585
 
6.0%
8 525
 
5.4%
7 520
 
5.4%
a 520
 
5.4%
l 520
 
5.4%
Other values (14) 3863
39.8%
Distinct681
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
2023-12-09T21:14:56.504279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.899
Min length1

Characters and Unicode

Total characters7899
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique626 ?
Unique (%)62.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row691017.5
ValueCountFrequency (%)
not 265
 
20.9%
available 265
 
20.9%
1535 3
 
0.2%
28988.2 2
 
0.2%
2425.9 2
 
0.2%
36551.5 2
 
0.2%
115957.4 2
 
0.2%
226191.2 2
 
0.2%
104039.8 2
 
0.2%
44948 2
 
0.2%
Other values (672) 718
56.8%
2023-12-09T21:14:57.087766image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 549
 
7.0%
l 530
 
6.7%
a 530
 
6.7%
1 480
 
6.1%
2 469
 
5.9%
3 437
 
5.5%
4 432
 
5.5%
5 414
 
5.2%
7 366
 
4.6%
8 360
 
4.6%
Other values (12) 3332
42.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3905
49.4%
Lowercase Letter 2650
33.5%
Other Punctuation 549
 
7.0%
Uppercase Letter 530
 
6.7%
Space Separator 265
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 480
12.3%
2 469
12.0%
3 437
11.2%
4 432
11.1%
5 414
10.6%
7 366
9.4%
8 360
9.2%
6 352
9.0%
9 343
8.8%
0 252
6.5%
Lowercase Letter
ValueCountFrequency (%)
l 530
20.0%
a 530
20.0%
b 265
10.0%
e 265
10.0%
o 265
10.0%
i 265
10.0%
v 265
10.0%
t 265
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 265
50.0%
N 265
50.0%
Other Punctuation
ValueCountFrequency (%)
. 549
100.0%
Space Separator
ValueCountFrequency (%)
265
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4719
59.7%
Latin 3180
40.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 549
11.6%
1 480
10.2%
2 469
9.9%
3 437
9.3%
4 432
9.2%
5 414
8.8%
7 366
7.8%
8 360
7.6%
6 352
7.5%
9 343
7.3%
Other values (2) 517
11.0%
Latin
ValueCountFrequency (%)
l 530
16.7%
a 530
16.7%
b 265
8.3%
e 265
8.3%
o 265
8.3%
i 265
8.3%
v 265
8.3%
A 265
8.3%
t 265
8.3%
N 265
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 549
 
7.0%
l 530
 
6.7%
a 530
 
6.7%
1 480
 
6.1%
2 469
 
5.9%
3 437
 
5.5%
4 432
 
5.5%
5 414
 
5.2%
7 366
 
4.6%
8 360
 
4.6%
Other values (12) 3332
42.2%
Distinct268
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T21:14:57.432462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.251
Min length6

Characters and Unicode

Total characters12251
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)26.2%

Sample

1st row7742025.14
2nd row15443987.89
3rd row8128745.79
4th row15923122.79
5th row19713293.68
ValueCountFrequency (%)
not 728
42.1%
available 728
42.1%
16453182.6 2
 
0.1%
67479327.9 2
 
0.1%
19266152.9 2
 
0.1%
7082893.78 2
 
0.1%
6179437.06 2
 
0.1%
70352829.48 1
 
0.1%
47534925.32 1
 
0.1%
3705546.51 1
 
0.1%
Other values (259) 259
 
15.0%
2023-12-09T21:14:57.910908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1456
11.9%
a 1456
11.9%
o 728
 
5.9%
e 728
 
5.9%
b 728
 
5.9%
i 728
 
5.9%
N 728
 
5.9%
v 728
 
5.9%
A 728
 
5.9%
728
 
5.9%
Other values (14) 3515
28.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7280
59.4%
Decimal Number 2535
 
20.7%
Uppercase Letter 1457
 
11.9%
Space Separator 728
 
5.9%
Other Punctuation 250
 
2.0%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 330
13.0%
2 296
11.7%
8 263
10.4%
3 252
9.9%
4 250
9.9%
6 248
9.8%
5 245
9.7%
7 225
8.9%
9 222
8.8%
0 204
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 1456
20.0%
a 1456
20.0%
o 728
10.0%
e 728
10.0%
b 728
10.0%
i 728
10.0%
v 728
10.0%
t 728
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 728
50.0%
A 728
50.0%
E 1
 
0.1%
Space Separator
ValueCountFrequency (%)
728
100.0%
Other Punctuation
ValueCountFrequency (%)
. 250
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8737
71.3%
Common 3514
28.7%

Most frequent character per script

Common
ValueCountFrequency (%)
728
20.7%
1 330
9.4%
2 296
8.4%
8 263
 
7.5%
3 252
 
7.2%
4 250
 
7.1%
. 250
 
7.1%
6 248
 
7.1%
5 245
 
7.0%
7 225
 
6.4%
Other values (3) 427
12.2%
Latin
ValueCountFrequency (%)
l 1456
16.7%
a 1456
16.7%
o 728
8.3%
e 728
8.3%
b 728
8.3%
i 728
8.3%
N 728
8.3%
v 728
8.3%
A 728
8.3%
t 728
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1456
11.9%
a 1456
11.9%
o 728
 
5.9%
e 728
 
5.9%
b 728
 
5.9%
i 728
 
5.9%
N 728
 
5.9%
v 728
 
5.9%
A 728
 
5.9%
728
 
5.9%
Other values (14) 3515
28.7%
Distinct79
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T21:14:58.261823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.353
Min length1

Characters and Unicode

Total characters12353
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)7.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 887
47.0%
available 887
47.0%
0 30
 
1.6%
3840756.02 2
 
0.1%
2439353.5 2
 
0.1%
309002.43 2
 
0.1%
186122.65 2
 
0.1%
269475.64 2
 
0.1%
575704.27 2
 
0.1%
4709319.56 1
 
0.1%
Other values (70) 70
 
3.7%
2023-12-09T21:14:58.722381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1774
14.4%
l 1774
14.4%
N 887
7.2%
o 887
7.2%
t 887
7.2%
887
7.2%
A 887
7.2%
v 887
7.2%
i 887
7.2%
b 887
7.2%
Other values (12) 1709
13.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8870
71.8%
Uppercase Letter 1774
 
14.4%
Space Separator 887
 
7.2%
Decimal Number 741
 
6.0%
Other Punctuation 81
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
12.4%
3 83
11.2%
4 78
10.5%
7 78
10.5%
1 77
10.4%
9 74
10.0%
2 71
9.6%
6 67
9.0%
8 61
8.2%
5 60
8.1%
Lowercase Letter
ValueCountFrequency (%)
a 1774
20.0%
l 1774
20.0%
o 887
10.0%
t 887
10.0%
v 887
10.0%
i 887
10.0%
b 887
10.0%
e 887
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 887
50.0%
A 887
50.0%
Space Separator
ValueCountFrequency (%)
887
100.0%
Other Punctuation
ValueCountFrequency (%)
. 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10644
86.2%
Common 1709
 
13.8%

Most frequent character per script

Common
ValueCountFrequency (%)
887
51.9%
0 92
 
5.4%
3 83
 
4.9%
. 81
 
4.7%
4 78
 
4.6%
7 78
 
4.6%
1 77
 
4.5%
9 74
 
4.3%
2 71
 
4.2%
6 67
 
3.9%
Other values (2) 121
 
7.1%
Latin
ValueCountFrequency (%)
a 1774
16.7%
l 1774
16.7%
N 887
8.3%
o 887
8.3%
t 887
8.3%
A 887
8.3%
v 887
8.3%
i 887
8.3%
b 887
8.3%
e 887
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12353
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1774
14.4%
l 1774
14.4%
N 887
7.2%
o 887
7.2%
t 887
7.2%
887
7.2%
A 887
7.2%
v 887
7.2%
i 887
7.2%
b 887
7.2%
Other values (12) 1709
13.8%
Distinct59
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:14:59.031016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.667
Min length1

Characters and Unicode

Total characters12667
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)4.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 921
47.9%
available 921
47.9%
0 10
 
0.5%
3310967.25 2
 
0.1%
4436114.07 2
 
0.1%
5603360.16 2
 
0.1%
2232917.05 2
 
0.1%
5067800.08 2
 
0.1%
4890365.72 2
 
0.1%
10947395.93 2
 
0.1%
Other values (50) 55
 
2.9%
2023-12-09T21:14:59.456842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1842
14.5%
l 1842
14.5%
N 921
7.3%
t 921
7.3%
921
7.3%
A 921
7.3%
v 921
7.3%
i 921
7.3%
b 921
7.3%
e 921
7.3%
Other values (12) 1615
12.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9210
72.7%
Uppercase Letter 1842
 
14.5%
Space Separator 921
 
7.3%
Decimal Number 625
 
4.9%
Other Punctuation 69
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 78
12.5%
5 69
11.0%
2 66
10.6%
9 65
10.4%
0 64
10.2%
1 61
9.8%
6 58
9.3%
8 57
9.1%
7 55
8.8%
4 52
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 1842
20.0%
l 1842
20.0%
t 921
10.0%
v 921
10.0%
i 921
10.0%
b 921
10.0%
e 921
10.0%
o 921
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 921
50.0%
A 921
50.0%
Space Separator
ValueCountFrequency (%)
921
100.0%
Other Punctuation
ValueCountFrequency (%)
. 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11052
87.3%
Common 1615
 
12.7%

Most frequent character per script

Common
ValueCountFrequency (%)
921
57.0%
3 78
 
4.8%
5 69
 
4.3%
. 69
 
4.3%
2 66
 
4.1%
9 65
 
4.0%
0 64
 
4.0%
1 61
 
3.8%
6 58
 
3.6%
8 57
 
3.5%
Other values (2) 107
 
6.6%
Latin
ValueCountFrequency (%)
a 1842
16.7%
l 1842
16.7%
N 921
8.3%
t 921
8.3%
A 921
8.3%
v 921
8.3%
i 921
8.3%
b 921
8.3%
e 921
8.3%
o 921
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12667
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1842
14.5%
l 1842
14.5%
N 921
7.3%
t 921
7.3%
921
7.3%
A 921
7.3%
v 921
7.3%
i 921
7.3%
b 921
7.3%
e 921
7.3%
Other values (12) 1615
12.7%
Distinct129
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T21:14:59.837809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.309
Min length1

Characters and Unicode

Total characters12309
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)12.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 844
45.8%
available 844
45.8%
0 25
 
1.4%
14215757.51 2
 
0.1%
1029720.95 2
 
0.1%
5195457.87 2
 
0.1%
9947981.56 2
 
0.1%
6035163.63 1
 
0.1%
11806641.84 1
 
0.1%
2774941.1 1
 
0.1%
Other values (120) 120
 
6.5%
2023-12-09T21:15:00.342848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1688
13.7%
l 1688
13.7%
N 844
 
6.9%
t 844
 
6.9%
844
 
6.9%
A 844
 
6.9%
v 844
 
6.9%
i 844
 
6.9%
b 844
 
6.9%
e 844
 
6.9%
Other values (12) 2181
17.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8440
68.6%
Uppercase Letter 1688
 
13.7%
Decimal Number 1209
 
9.8%
Space Separator 844
 
6.9%
Other Punctuation 128
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 152
12.6%
1 131
10.8%
2 127
10.5%
5 126
10.4%
3 125
10.3%
9 122
10.1%
6 114
9.4%
0 110
9.1%
8 103
8.5%
7 99
8.2%
Lowercase Letter
ValueCountFrequency (%)
a 1688
20.0%
l 1688
20.0%
t 844
10.0%
v 844
10.0%
i 844
10.0%
b 844
10.0%
e 844
10.0%
o 844
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 844
50.0%
A 844
50.0%
Space Separator
ValueCountFrequency (%)
844
100.0%
Other Punctuation
ValueCountFrequency (%)
. 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10128
82.3%
Common 2181
 
17.7%

Most frequent character per script

Common
ValueCountFrequency (%)
844
38.7%
4 152
 
7.0%
1 131
 
6.0%
. 128
 
5.9%
2 127
 
5.8%
5 126
 
5.8%
3 125
 
5.7%
9 122
 
5.6%
6 114
 
5.2%
0 110
 
5.0%
Other values (2) 202
 
9.3%
Latin
ValueCountFrequency (%)
a 1688
16.7%
l 1688
16.7%
N 844
8.3%
t 844
8.3%
A 844
8.3%
v 844
8.3%
i 844
8.3%
b 844
8.3%
e 844
8.3%
o 844
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1688
13.7%
l 1688
13.7%
N 844
 
6.9%
t 844
 
6.9%
844
 
6.9%
A 844
 
6.9%
v 844
 
6.9%
i 844
 
6.9%
b 844
 
6.9%
e 844
 
6.9%
Other values (12) 2181
17.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:15:00.546585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length8

Characters and Unicode

Total characters12975
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
29130136.55 1
 
0.1%
7768034.1 1
 
0.1%
554900.69 1
 
0.1%
346726.25 1
 
0.1%
27876.79 1
 
0.1%
9745351.49 1
 
0.1%
8020887.69 1
 
0.1%
2023-12-09T21:15:00.868463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
e 993
7.7%
i 993
7.7%
b 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (12) 1059
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.5%
Uppercase Letter 1986
 
15.3%
Space Separator 993
 
7.7%
Decimal Number 59
 
0.5%
Other Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 8
13.6%
5 7
11.9%
9 7
11.9%
6 7
11.9%
0 6
10.2%
8 5
8.5%
2 5
8.5%
3 5
8.5%
4 5
8.5%
1 4
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
e 993
10.0%
i 993
10.0%
b 993
10.0%
v 993
10.0%
t 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
91.8%
Common 1059
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
993
93.8%
7 8
 
0.8%
5 7
 
0.7%
9 7
 
0.7%
6 7
 
0.7%
. 7
 
0.7%
0 6
 
0.6%
8 5
 
0.5%
2 5
 
0.5%
3 5
 
0.5%
Other values (2) 9
 
0.8%
Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
e 993
8.3%
i 993
8.3%
b 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
e 993
7.7%
i 993
7.7%
b 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (12) 1059
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:15:01.049036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length9

Characters and Unicode

Total characters12992
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
154826175 1
 
0.1%
120548187 1
 
0.1%
2023-12-09T21:15:01.351830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1016
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 18
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
22.2%
5 3
16.7%
8 3
16.7%
4 2
11.1%
2 2
11.1%
7 2
11.1%
6 1
 
5.6%
0 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1016
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.2%
1 4
 
0.4%
5 3
 
0.3%
8 3
 
0.3%
4 2
 
0.2%
2 2
 
0.2%
7 2
 
0.2%
6 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1016
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T21:15:01.466482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.036
Min length1

Characters and Unicode

Total characters1036
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 997
99.4%
not 3
 
0.3%
available 3
 
0.3%
2023-12-09T21:15:01.698032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 997
96.2%
a 6
 
0.6%
l 6
 
0.6%
N 3
 
0.3%
o 3
 
0.3%
t 3
 
0.3%
3
 
0.3%
A 3
 
0.3%
v 3
 
0.3%
i 3
 
0.3%
Other values (2) 6
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 997
96.2%
Lowercase Letter 30
 
2.9%
Uppercase Letter 6
 
0.6%
Space Separator 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
o 3
10.0%
t 3
10.0%
v 3
10.0%
i 3
10.0%
b 3
10.0%
e 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
50.0%
A 3
50.0%
Decimal Number
ValueCountFrequency (%)
0 997
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1000
96.5%
Latin 36
 
3.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
N 3
8.3%
o 3
8.3%
t 3
8.3%
A 3
8.3%
v 3
8.3%
i 3
8.3%
b 3
8.3%
e 3
8.3%
Common
ValueCountFrequency (%)
0 997
99.7%
3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 997
96.2%
a 6
 
0.6%
l 6
 
0.6%
N 3
 
0.3%
o 3
 
0.3%
t 3
 
0.3%
3
 
0.3%
A 3
 
0.3%
v 3
 
0.3%
i 3
 
0.3%
Other values (2) 6
 
0.6%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:15:01.866535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:15:02.141627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:15:02.255751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.075
Min length2

Characters and Unicode

Total characters2075
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 975
97.0%
yes 20
 
2.0%
not 5
 
0.5%
available 5
 
0.5%
2023-12-09T21:15:02.486993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 980
47.2%
o 977
47.1%
e 25
 
1.2%
Y 20
 
1.0%
s 20
 
1.0%
a 10
 
0.5%
l 10
 
0.5%
t 5
 
0.2%
5
 
0.2%
A 5
 
0.2%
Other values (4) 18
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1062
51.2%
Uppercase Letter 1008
48.6%
Space Separator 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 977
92.0%
e 25
 
2.4%
s 20
 
1.9%
a 10
 
0.9%
l 10
 
0.9%
t 5
 
0.5%
v 5
 
0.5%
i 5
 
0.5%
b 5
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
N 980
97.2%
Y 20
 
2.0%
A 5
 
0.5%
O 3
 
0.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2070
99.8%
Common 5
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 980
47.3%
o 977
47.2%
e 25
 
1.2%
Y 20
 
1.0%
s 20
 
1.0%
a 10
 
0.5%
l 10
 
0.5%
t 5
 
0.2%
A 5
 
0.2%
v 5
 
0.2%
Other values (3) 13
 
0.6%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 980
47.2%
o 977
47.1%
e 25
 
1.2%
Y 20
 
1.0%
s 20
 
1.0%
a 10
 
0.5%
l 10
 
0.5%
t 5
 
0.2%
5
 
0.2%
A 5
 
0.2%
Other values (4) 18
 
0.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:15:02.657559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length2

Characters and Unicode

Total characters12967
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
no 3
 
0.2%
2023-12-09T21:15:02.940023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 1000
7.7%
o 1000
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9973
76.9%
Uppercase Letter 1997
 
15.4%
Space Separator 997
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 1000
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 997
49.9%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11970
92.3%
Common 997
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 1000
8.4%
o 1000
8.4%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 1000
7.7%
o 1000
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T21:15:03.072968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length4.509
Min length2

Characters and Unicode

Total characters4509
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNo
ValueCountFrequency (%)
no 771
62.8%
not 228
 
18.6%
available 228
 
18.6%
yes 1
 
0.1%
2023-12-09T21:15:03.322561image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 999
22.2%
o 996
22.1%
a 456
10.1%
l 456
10.1%
e 229
 
5.1%
t 228
 
5.1%
228
 
5.1%
A 228
 
5.1%
v 228
 
5.1%
i 228
 
5.1%
Other values (4) 233
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3050
67.6%
Uppercase Letter 1231
27.3%
Space Separator 228
 
5.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 996
32.7%
a 456
15.0%
l 456
15.0%
e 229
 
7.5%
t 228
 
7.5%
v 228
 
7.5%
i 228
 
7.5%
b 228
 
7.5%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
81.2%
A 228
 
18.5%
O 3
 
0.2%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4281
94.9%
Common 228
 
5.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 999
23.3%
o 996
23.3%
a 456
10.7%
l 456
10.7%
e 229
 
5.3%
t 228
 
5.3%
A 228
 
5.3%
v 228
 
5.3%
i 228
 
5.3%
b 228
 
5.3%
Other values (3) 5
 
0.1%
Common
ValueCountFrequency (%)
228
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 999
22.2%
o 996
22.1%
a 456
10.1%
l 456
10.1%
e 229
 
5.1%
t 228
 
5.1%
228
 
5.1%
A 228
 
5.1%
v 228
 
5.1%
i 228
 
5.1%
Other values (4) 233
 
5.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size65.4 KiB
2023-12-09T21:15:03.495329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.877
Min length2

Characters and Unicode

Total characters9877
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
not 716
41.7%
available 716
41.7%
no 283
 
16.5%
yes 1
 
0.1%
2023-12-09T21:15:03.785835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1432
14.5%
l 1432
14.5%
N 999
10.1%
o 999
10.1%
e 717
7.3%
t 716
7.2%
716
7.2%
A 716
7.2%
v 716
7.2%
i 716
7.2%
Other values (3) 718
7.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7445
75.4%
Uppercase Letter 1716
 
17.4%
Space Separator 716
 
7.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1432
19.2%
l 1432
19.2%
o 999
13.4%
e 717
9.6%
t 716
9.6%
v 716
9.6%
i 716
9.6%
b 716
9.6%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
58.2%
A 716
41.7%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
716
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9161
92.8%
Common 716
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1432
15.6%
l 1432
15.6%
N 999
10.9%
o 999
10.9%
e 717
7.8%
t 716
7.8%
A 716
7.8%
v 716
7.8%
i 716
7.8%
b 716
7.8%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
716
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9877
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1432
14.5%
l 1432
14.5%
N 999
10.1%
o 999
10.1%
e 717
7.3%
t 716
7.2%
716
7.2%
A 716
7.2%
v 716
7.2%
i 716
7.2%
Other values (3) 718
7.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T21:15:03.956054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.747
Min length2

Characters and Unicode

Total characters11747
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 886
47.0%
available 886
47.0%
no 113
 
6.0%
yes 1
 
0.1%
2023-12-09T21:15:04.238222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1772
15.1%
l 1772
15.1%
N 999
8.5%
o 999
8.5%
e 887
7.6%
t 886
7.5%
886
7.5%
A 886
7.5%
v 886
7.5%
i 886
7.5%
Other values (3) 888
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8975
76.4%
Uppercase Letter 1886
 
16.1%
Space Separator 886
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1772
19.7%
l 1772
19.7%
o 999
11.1%
e 887
9.9%
t 886
9.9%
v 886
9.9%
i 886
9.9%
b 886
9.9%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
53.0%
A 886
47.0%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
886
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10861
92.5%
Common 886
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1772
16.3%
l 1772
16.3%
N 999
9.2%
o 999
9.2%
e 887
8.2%
t 886
8.2%
A 886
8.2%
v 886
8.2%
i 886
8.2%
b 886
8.2%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
886
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1772
15.1%
l 1772
15.1%
N 999
8.5%
o 999
8.5%
e 887
7.6%
t 886
7.5%
886
7.5%
A 886
7.5%
v 886
7.5%
i 886
7.5%
Other values (3) 888
7.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:15:04.406709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.131
Min length2

Characters and Unicode

Total characters12131
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 921
47.9%
available 921
47.9%
no 79
 
4.1%
2023-12-09T21:15:04.683016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1842
15.2%
l 1842
15.2%
N 1000
8.2%
o 1000
8.2%
t 921
7.6%
921
7.6%
A 921
7.6%
v 921
7.6%
i 921
7.6%
b 921
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9289
76.6%
Uppercase Letter 1921
 
15.8%
Space Separator 921
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1842
19.8%
l 1842
19.8%
o 1000
10.8%
t 921
9.9%
v 921
9.9%
i 921
9.9%
b 921
9.9%
e 921
9.9%
Uppercase Letter
ValueCountFrequency (%)
N 1000
52.1%
A 921
47.9%
Space Separator
ValueCountFrequency (%)
921
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11210
92.4%
Common 921
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1842
16.4%
l 1842
16.4%
N 1000
8.9%
o 1000
8.9%
t 921
8.2%
A 921
8.2%
v 921
8.2%
i 921
8.2%
b 921
8.2%
e 921
8.2%
Common
ValueCountFrequency (%)
921
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1842
15.2%
l 1842
15.2%
N 1000
8.2%
o 1000
8.2%
t 921
7.6%
921
7.6%
A 921
7.6%
v 921
7.6%
i 921
7.6%
b 921
7.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size66.9 KiB
2023-12-09T21:15:04.856080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.328
Min length2

Characters and Unicode

Total characters11328
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 848
45.9%
available 848
45.9%
no 152
 
8.2%
2023-12-09T21:15:05.135023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1696
15.0%
l 1696
15.0%
N 1000
8.8%
o 999
8.8%
t 848
7.5%
848
7.5%
A 848
7.5%
v 848
7.5%
i 848
7.5%
b 848
7.5%
Other values (2) 849
7.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8631
76.2%
Uppercase Letter 1849
 
16.3%
Space Separator 848
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1696
19.7%
l 1696
19.7%
o 999
11.6%
t 848
9.8%
v 848
9.8%
i 848
9.8%
b 848
9.8%
e 848
9.8%
Uppercase Letter
ValueCountFrequency (%)
N 1000
54.1%
A 848
45.9%
O 1
 
0.1%
Space Separator
ValueCountFrequency (%)
848
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10480
92.5%
Common 848
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1696
16.2%
l 1696
16.2%
N 1000
9.5%
o 999
9.5%
t 848
8.1%
A 848
8.1%
v 848
8.1%
i 848
8.1%
b 848
8.1%
e 848
8.1%
Common
ValueCountFrequency (%)
848
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1696
15.0%
l 1696
15.0%
N 1000
8.8%
o 999
8.8%
t 848
7.5%
848
7.5%
A 848
7.5%
v 848
7.5%
i 848
7.5%
b 848
7.5%
Other values (2) 849
7.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:05.307227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.912
Min length2

Characters and Unicode

Total characters12912
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
no 8
 
0.4%
2023-12-09T21:15:05.588425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 1000
7.7%
o 1000
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9928
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 992
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 1000
10.1%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.2%
A 992
49.8%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11920
92.3%
Common 992
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.6%
l 1984
16.6%
N 1000
8.4%
o 1000
8.4%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 1000
7.7%
o 1000
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:15:05.754765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.978
Min length2

Characters and Unicode

Total characters12978
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
no 2
 
0.1%
2023-12-09T21:15:06.034173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9982
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 998
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 1000
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 998
49.9%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11980
92.3%
Common 998
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 1000
8.3%
o 1000
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:15:06.202678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:15:06.483634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:06.653467image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.835
Min length2

Characters and Unicode

Total characters12835
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
no 15
 
0.8%
2023-12-09T21:15:06.937720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 1000
7.8%
o 1000
7.8%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9865
76.9%
Uppercase Letter 1985
 
15.5%
Space Separator 985
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
o 1000
10.1%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.4%
A 985
49.6%
Space Separator
ValueCountFrequency (%)
985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11850
92.3%
Common 985
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1970
16.6%
l 1970
16.6%
N 1000
8.4%
o 1000
8.4%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
Common
ValueCountFrequency (%)
985
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.3%
l 1970
15.3%
N 1000
7.8%
o 1000
7.8%
t 985
7.7%
985
7.7%
A 985
7.7%
v 985
7.7%
i 985
7.7%
b 985
7.7%
Distinct398
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size64.0 KiB
2023-12-09T21:15:07.434492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.409
Min length1

Characters and Unicode

Total characters8409
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)29.5%

Sample

1st row-38.1
2nd row-43.1
3rd row-36.2
4th row-23.9
5th row-22.2
ValueCountFrequency (%)
not 463
31.6%
available 463
31.6%
35.6 6
 
0.4%
30.3 6
 
0.4%
22.2 5
 
0.3%
22.3 4
 
0.3%
26 4
 
0.3%
33.9 4
 
0.3%
6.7 4
 
0.3%
24.9 4
 
0.3%
Other values (351) 500
34.2%
2023-12-09T21:15:08.068796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 926
 
11.0%
l 926
 
11.0%
. 477
 
5.7%
N 463
 
5.5%
t 463
 
5.5%
463
 
5.5%
A 463
 
5.5%
v 463
 
5.5%
i 463
 
5.5%
b 463
 
5.5%
Other values (13) 2839
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4630
55.1%
Decimal Number 1523
 
18.1%
Uppercase Letter 926
 
11.0%
Other Punctuation 477
 
5.7%
Space Separator 463
 
5.5%
Dash Punctuation 390
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 266
17.5%
3 234
15.4%
1 198
13.0%
4 167
11.0%
5 125
8.2%
6 123
8.1%
9 115
7.6%
7 112
7.4%
8 109
7.2%
0 74
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 926
20.0%
l 926
20.0%
t 463
10.0%
v 463
10.0%
i 463
10.0%
b 463
10.0%
e 463
10.0%
o 463
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 463
50.0%
A 463
50.0%
Other Punctuation
ValueCountFrequency (%)
. 477
100.0%
Space Separator
ValueCountFrequency (%)
463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 390
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5556
66.1%
Common 2853
33.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 477
16.7%
463
16.2%
- 390
13.7%
2 266
9.3%
3 234
8.2%
1 198
6.9%
4 167
 
5.9%
5 125
 
4.4%
6 123
 
4.3%
9 115
 
4.0%
Other values (3) 295
10.3%
Latin
ValueCountFrequency (%)
a 926
16.7%
l 926
16.7%
N 463
8.3%
t 463
8.3%
A 463
8.3%
v 463
8.3%
i 463
8.3%
b 463
8.3%
e 463
8.3%
o 463
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 926
 
11.0%
l 926
 
11.0%
. 477
 
5.7%
N 463
 
5.5%
t 463
 
5.5%
463
 
5.5%
A 463
 
5.5%
v 463
 
5.5%
i 463
 
5.5%
b 463
 
5.5%
Other values (13) 2839
33.8%
Distinct786
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T21:15:08.572952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.042
Min length1

Characters and Unicode

Total characters5042
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique651 ?
Unique (%)65.1%

Sample

1st row222.8
2nd row189.8
3rd row181.5
4th row229.7
5th row281.8
ValueCountFrequency (%)
not 46
 
4.4%
available 46
 
4.4%
120.4 5
 
0.5%
0 4
 
0.4%
64.3 4
 
0.4%
168.1 4
 
0.4%
183.8 3
 
0.3%
146.4 3
 
0.3%
175 3
 
0.3%
147.8 3
 
0.3%
Other values (777) 925
88.4%
2023-12-09T21:15:09.212994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 852
16.9%
1 730
14.5%
2 460
9.1%
3 368
7.3%
4 331
 
6.6%
5 330
 
6.5%
8 307
 
6.1%
6 306
 
6.1%
7 282
 
5.6%
9 260
 
5.2%
Other values (12) 816
16.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3592
71.2%
Other Punctuation 852
 
16.9%
Lowercase Letter 460
 
9.1%
Uppercase Letter 92
 
1.8%
Space Separator 46
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 730
20.3%
2 460
12.8%
3 368
10.2%
4 331
9.2%
5 330
9.2%
8 307
8.5%
6 306
8.5%
7 282
 
7.9%
9 260
 
7.2%
0 218
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
l 92
20.0%
a 92
20.0%
e 46
10.0%
o 46
10.0%
b 46
10.0%
i 46
10.0%
v 46
10.0%
t 46
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 46
50.0%
N 46
50.0%
Other Punctuation
ValueCountFrequency (%)
. 852
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4490
89.1%
Latin 552
 
10.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 852
19.0%
1 730
16.3%
2 460
10.2%
3 368
8.2%
4 331
 
7.4%
5 330
 
7.3%
8 307
 
6.8%
6 306
 
6.8%
7 282
 
6.3%
9 260
 
5.8%
Other values (2) 264
 
5.9%
Latin
ValueCountFrequency (%)
l 92
16.7%
a 92
16.7%
e 46
8.3%
o 46
8.3%
b 46
8.3%
i 46
8.3%
v 46
8.3%
A 46
8.3%
t 46
8.3%
N 46
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 852
16.9%
1 730
14.5%
2 460
9.1%
3 368
7.3%
4 331
 
6.6%
5 330
 
6.5%
8 307
 
6.1%
6 306
 
6.1%
7 282
 
5.6%
9 260
 
5.2%
Other values (12) 816
16.2%
Distinct899
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size65.5 KiB
2023-12-09T21:15:09.532954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.893
Min length6

Characters and Unicode

Total characters9893
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique843 ?
Unique (%)84.3%

Sample

1st row153028355.5
2nd row72946839.7
3rd row103862023
4th row83277017
5th row451489545.7
ValueCountFrequency (%)
not 47
 
4.5%
available 47
 
4.5%
6907089.1 2
 
0.2%
352917142.2 2
 
0.2%
89065601.8 2
 
0.2%
63531341.8 2
 
0.2%
7152402.7 2
 
0.2%
9567958.8 2
 
0.2%
23198516.2 2
 
0.2%
8481633.7 2
 
0.2%
Other values (890) 937
89.5%
2023-12-09T21:15:11.494284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1079
10.9%
2 902
9.1%
3 893
9.0%
4 854
8.6%
. 840
8.5%
5 828
8.4%
6 822
8.3%
9 821
8.3%
7 806
8.1%
8 778
7.9%
Other values (14) 1270
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8436
85.3%
Other Punctuation 840
 
8.5%
Lowercase Letter 470
 
4.8%
Uppercase Letter 97
 
1.0%
Space Separator 47
 
0.5%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1079
12.8%
2 902
10.7%
3 893
10.6%
4 854
10.1%
5 828
9.8%
6 822
9.7%
9 821
9.7%
7 806
9.6%
8 778
9.2%
0 653
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 94
20.0%
l 94
20.0%
o 47
10.0%
e 47
10.0%
b 47
10.0%
i 47
10.0%
v 47
10.0%
t 47
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 47
48.5%
A 47
48.5%
E 3
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 840
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9326
94.3%
Latin 567
 
5.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1079
11.6%
2 902
9.7%
3 893
9.6%
4 854
9.2%
. 840
9.0%
5 828
8.9%
6 822
8.8%
9 821
8.8%
7 806
8.6%
8 778
8.3%
Other values (3) 703
7.5%
Latin
ValueCountFrequency (%)
a 94
16.6%
l 94
16.6%
N 47
8.3%
o 47
8.3%
e 47
8.3%
b 47
8.3%
i 47
8.3%
v 47
8.3%
A 47
8.3%
t 47
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9893
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1079
10.9%
2 902
9.1%
3 893
9.0%
4 854
8.6%
. 840
8.5%
5 828
8.4%
6 822
8.3%
9 821
8.3%
7 806
8.1%
8 778
7.9%
Other values (14) 1270
12.8%
Distinct786
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T21:15:12.005690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.057
Min length1

Characters and Unicode

Total characters5057
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique648 ?
Unique (%)64.8%

Sample

1st row221.8
2nd row192.4
3rd row181.8
4th row235.1
5th row282.4
ValueCountFrequency (%)
not 47
 
4.5%
available 47
 
4.5%
120.1 5
 
0.5%
64.3 5
 
0.5%
0 4
 
0.4%
130.9 4
 
0.4%
126.5 4
 
0.4%
145.7 3
 
0.3%
177.5 3
 
0.3%
136 3
 
0.3%
Other values (777) 922
88.1%
2023-12-09T21:15:12.645949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 853
16.9%
1 734
14.5%
2 496
9.8%
3 358
7.1%
5 341
 
6.7%
4 317
 
6.3%
6 314
 
6.2%
7 281
 
5.6%
9 274
 
5.4%
8 273
 
5.4%
Other values (12) 816
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3593
71.1%
Other Punctuation 853
 
16.9%
Lowercase Letter 470
 
9.3%
Uppercase Letter 94
 
1.9%
Space Separator 47
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 734
20.4%
2 496
13.8%
3 358
10.0%
5 341
9.5%
4 317
8.8%
6 314
8.7%
7 281
 
7.8%
9 274
 
7.6%
8 273
 
7.6%
0 205
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
l 94
20.0%
a 94
20.0%
e 47
10.0%
o 47
10.0%
b 47
10.0%
i 47
10.0%
v 47
10.0%
t 47
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 47
50.0%
N 47
50.0%
Other Punctuation
ValueCountFrequency (%)
. 853
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4493
88.8%
Latin 564
 
11.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 853
19.0%
1 734
16.3%
2 496
11.0%
3 358
8.0%
5 341
 
7.6%
4 317
 
7.1%
6 314
 
7.0%
7 281
 
6.3%
9 274
 
6.1%
8 273
 
6.1%
Other values (2) 252
 
5.6%
Latin
ValueCountFrequency (%)
l 94
16.7%
a 94
16.7%
e 47
8.3%
o 47
8.3%
b 47
8.3%
i 47
8.3%
v 47
8.3%
A 47
8.3%
t 47
8.3%
N 47
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5057
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 853
16.9%
1 734
14.5%
2 496
9.8%
3 358
7.1%
5 341
 
6.7%
4 317
 
6.3%
6 314
 
6.2%
7 281
 
5.6%
9 274
 
5.4%
8 273
 
5.4%
Other values (12) 816
16.1%
Distinct429
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
2023-12-09T21:15:13.156898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length8.157
Min length2

Characters and Unicode

Total characters8157
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique375 ?
Unique (%)37.5%

Sample

1st row360.2
2nd row333.8
3rd row284.3
4th row301.7
5th row362.4
ValueCountFrequency (%)
not 436
30.4%
available 436
30.4%
164 36
 
2.5%
127 20
 
1.4%
28 15
 
1.0%
244 7
 
0.5%
94 5
 
0.3%
145 5
 
0.3%
144 4
 
0.3%
332.4 4
 
0.3%
Other values (420) 468
32.6%
2023-12-09T21:15:13.787877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 872
 
10.7%
l 872
 
10.7%
N 436
 
5.3%
t 436
 
5.3%
436
 
5.3%
A 436
 
5.3%
v 436
 
5.3%
i 436
 
5.3%
b 436
 
5.3%
e 436
 
5.3%
Other values (12) 2925
35.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4360
53.5%
Decimal Number 2077
25.5%
Uppercase Letter 872
 
10.7%
Space Separator 436
 
5.3%
Other Punctuation 412
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 393
18.9%
6 276
13.3%
3 253
12.2%
1 239
11.5%
4 222
10.7%
8 167
8.0%
9 154
 
7.4%
7 147
 
7.1%
5 145
 
7.0%
0 81
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 872
20.0%
l 872
20.0%
t 436
10.0%
v 436
10.0%
i 436
10.0%
b 436
10.0%
e 436
10.0%
o 436
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 436
50.0%
A 436
50.0%
Space Separator
ValueCountFrequency (%)
436
100.0%
Other Punctuation
ValueCountFrequency (%)
. 412
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5232
64.1%
Common 2925
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
436
14.9%
. 412
14.1%
2 393
13.4%
6 276
9.4%
3 253
8.6%
1 239
8.2%
4 222
7.6%
8 167
 
5.7%
9 154
 
5.3%
7 147
 
5.0%
Other values (2) 226
7.7%
Latin
ValueCountFrequency (%)
a 872
16.7%
l 872
16.7%
N 436
8.3%
t 436
8.3%
A 436
8.3%
v 436
8.3%
i 436
8.3%
b 436
8.3%
e 436
8.3%
o 436
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 872
 
10.7%
l 872
 
10.7%
N 436
 
5.3%
t 436
 
5.3%
436
 
5.3%
A 436
 
5.3%
v 436
 
5.3%
i 436
 
5.3%
b 436
 
5.3%
e 436
 
5.3%
Other values (12) 2925
35.9%
Distinct398
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size64.0 KiB
2023-12-09T21:15:14.302740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.421
Min length1

Characters and Unicode

Total characters8421
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)29.4%

Sample

1st row-38.1
2nd row-43.1
3rd row-36.2
4th row-23.9
5th row-22.2
ValueCountFrequency (%)
not 463
31.6%
available 463
31.6%
35.6 5
 
0.3%
8.9 5
 
0.3%
6.7 4
 
0.3%
31 4
 
0.3%
30.3 4
 
0.3%
39.7 4
 
0.3%
24.9 4
 
0.3%
32.2 4
 
0.3%
Other values (351) 503
34.4%
2023-12-09T21:15:14.945634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 926
 
11.0%
l 926
 
11.0%
. 486
 
5.8%
N 463
 
5.5%
t 463
 
5.5%
463
 
5.5%
A 463
 
5.5%
v 463
 
5.5%
i 463
 
5.5%
b 463
 
5.5%
Other values (13) 2842
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4630
55.0%
Decimal Number 1525
 
18.1%
Uppercase Letter 926
 
11.0%
Other Punctuation 486
 
5.8%
Space Separator 463
 
5.5%
Dash Punctuation 391
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 257
16.9%
3 241
15.8%
1 193
12.7%
4 177
11.6%
6 122
8.0%
5 120
7.9%
9 120
7.9%
7 115
7.5%
8 110
7.2%
0 70
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 926
20.0%
l 926
20.0%
t 463
10.0%
v 463
10.0%
i 463
10.0%
b 463
10.0%
e 463
10.0%
o 463
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 463
50.0%
A 463
50.0%
Other Punctuation
ValueCountFrequency (%)
. 486
100.0%
Space Separator
ValueCountFrequency (%)
463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5556
66.0%
Common 2865
34.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 486
17.0%
463
16.2%
- 391
13.6%
2 257
9.0%
3 241
8.4%
1 193
 
6.7%
4 177
 
6.2%
6 122
 
4.3%
5 120
 
4.2%
9 120
 
4.2%
Other values (3) 295
10.3%
Latin
ValueCountFrequency (%)
a 926
16.7%
l 926
16.7%
N 463
8.3%
t 463
8.3%
A 463
8.3%
v 463
8.3%
i 463
8.3%
b 463
8.3%
e 463
8.3%
o 463
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 926
 
11.0%
l 926
 
11.0%
. 486
 
5.8%
N 463
 
5.5%
t 463
 
5.5%
463
 
5.5%
A 463
 
5.5%
v 463
 
5.5%
i 463
 
5.5%
b 463
 
5.5%
Other values (13) 2842
33.7%
Distinct75
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T21:15:15.281734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.36
Min length4

Characters and Unicode

Total characters12360
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)6.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd row345688
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 920
47.9%
available 920
47.9%
12900 2
 
0.1%
1095503 2
 
0.1%
1047037 2
 
0.1%
155006 2
 
0.1%
52510 2
 
0.1%
3362 2
 
0.1%
14310 1
 
0.1%
61244 1
 
0.1%
Other values (66) 66
 
3.4%
2023-12-09T21:15:15.724687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1840
14.9%
l 1840
14.9%
N 920
7.4%
o 920
7.4%
b 920
7.4%
i 920
7.4%
e 920
7.4%
v 920
7.4%
A 920
7.4%
920
7.4%
Other values (11) 1320
10.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9200
74.4%
Uppercase Letter 1840
 
14.9%
Space Separator 920
 
7.4%
Decimal Number 400
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
16.5%
1 60
15.0%
5 41
10.2%
6 38
9.5%
3 36
9.0%
7 36
9.0%
2 34
8.5%
4 33
8.2%
9 32
8.0%
8 24
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 1840
20.0%
l 1840
20.0%
o 920
10.0%
b 920
10.0%
i 920
10.0%
e 920
10.0%
v 920
10.0%
t 920
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 920
50.0%
A 920
50.0%
Space Separator
ValueCountFrequency (%)
920
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11040
89.3%
Common 1320
 
10.7%

Most frequent character per script

Common
ValueCountFrequency (%)
920
69.7%
0 66
 
5.0%
1 60
 
4.5%
5 41
 
3.1%
6 38
 
2.9%
3 36
 
2.7%
7 36
 
2.7%
2 34
 
2.6%
4 33
 
2.5%
9 32
 
2.4%
Latin
ValueCountFrequency (%)
a 1840
16.7%
l 1840
16.7%
N 920
8.3%
o 920
8.3%
b 920
8.3%
i 920
8.3%
e 920
8.3%
v 920
8.3%
A 920
8.3%
t 920
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1840
14.9%
l 1840
14.9%
N 920
7.4%
o 920
7.4%
b 920
7.4%
i 920
7.4%
e 920
7.4%
v 920
7.4%
A 920
7.4%
920
7.4%
Other values (11) 1320
10.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T21:15:15.911533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.207
Min length2

Characters and Unicode

Total characters12207
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd row100
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 920
47.9%
available 920
47.9%
100 75
 
3.9%
89.73 2
 
0.1%
99.79 2
 
0.1%
25 1
 
0.1%
2023-12-09T21:15:16.210179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1840
15.1%
l 1840
15.1%
N 920
7.5%
o 920
7.5%
b 920
7.5%
i 920
7.5%
e 920
7.5%
v 920
7.5%
A 920
7.5%
920
7.5%
Other values (10) 1167
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9200
75.4%
Uppercase Letter 1840
 
15.1%
Space Separator 920
 
7.5%
Decimal Number 243
 
2.0%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1840
20.0%
l 1840
20.0%
o 920
10.0%
b 920
10.0%
i 920
10.0%
e 920
10.0%
v 920
10.0%
t 920
10.0%
Decimal Number
ValueCountFrequency (%)
0 150
61.7%
1 75
30.9%
9 8
 
3.3%
7 4
 
1.6%
8 2
 
0.8%
3 2
 
0.8%
2 1
 
0.4%
5 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 920
50.0%
A 920
50.0%
Space Separator
ValueCountFrequency (%)
920
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11040
90.4%
Common 1167
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1840
16.7%
l 1840
16.7%
N 920
8.3%
o 920
8.3%
b 920
8.3%
i 920
8.3%
e 920
8.3%
v 920
8.3%
A 920
8.3%
t 920
8.3%
Common
ValueCountFrequency (%)
920
78.8%
0 150
 
12.9%
1 75
 
6.4%
9 8
 
0.7%
. 4
 
0.3%
7 4
 
0.3%
8 2
 
0.2%
3 2
 
0.2%
2 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1840
15.1%
l 1840
15.1%
N 920
7.5%
o 920
7.5%
b 920
7.5%
i 920
7.5%
e 920
7.5%
v 920
7.5%
A 920
7.5%
920
7.5%
Other values (10) 1167
9.6%
Distinct67
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T21:15:16.502121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.264
Min length1

Characters and Unicode

Total characters12264
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)5.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1.74
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 920
47.9%
available 920
47.9%
2.2 3
 
0.2%
3.33 3
 
0.2%
2.19 2
 
0.1%
1.55 2
 
0.1%
5.05 2
 
0.1%
2.01 2
 
0.1%
2.38 2
 
0.1%
4.52 2
 
0.1%
Other values (58) 62
 
3.2%
2023-12-09T21:15:16.924088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1840
15.0%
l 1840
15.0%
N 920
7.5%
t 920
7.5%
920
7.5%
A 920
7.5%
v 920
7.5%
i 920
7.5%
b 920
7.5%
e 920
7.5%
Other values (12) 1224
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9200
75.0%
Uppercase Letter 1840
 
15.0%
Space Separator 920
 
7.5%
Decimal Number 227
 
1.9%
Other Punctuation 77
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 40
17.6%
2 36
15.9%
3 36
15.9%
4 29
12.8%
5 26
11.5%
6 16
 
7.0%
8 15
 
6.6%
0 11
 
4.8%
9 10
 
4.4%
7 8
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 1840
20.0%
l 1840
20.0%
t 920
10.0%
v 920
10.0%
i 920
10.0%
b 920
10.0%
e 920
10.0%
o 920
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 920
50.0%
A 920
50.0%
Space Separator
ValueCountFrequency (%)
920
100.0%
Other Punctuation
ValueCountFrequency (%)
. 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11040
90.0%
Common 1224
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
920
75.2%
. 77
 
6.3%
1 40
 
3.3%
2 36
 
2.9%
3 36
 
2.9%
4 29
 
2.4%
5 26
 
2.1%
6 16
 
1.3%
8 15
 
1.2%
0 11
 
0.9%
Other values (2) 18
 
1.5%
Latin
ValueCountFrequency (%)
a 1840
16.7%
l 1840
16.7%
N 920
8.3%
t 920
8.3%
A 920
8.3%
v 920
8.3%
i 920
8.3%
b 920
8.3%
e 920
8.3%
o 920
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1840
15.0%
l 1840
15.0%
N 920
7.5%
t 920
7.5%
920
7.5%
A 920
7.5%
v 920
7.5%
i 920
7.5%
b 920
7.5%
e 920
7.5%
Other values (12) 1224
10.0%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:15:17.147145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.122
Min length2

Characters and Unicode

Total characters12122
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd row84
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 920
47.9%
available 920
47.9%
65 13
 
0.7%
60 10
 
0.5%
55 8
 
0.4%
50 7
 
0.4%
45 6
 
0.3%
40 4
 
0.2%
70 3
 
0.2%
52 3
 
0.2%
Other values (20) 26
 
1.4%
2023-12-09T21:15:17.496593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1840
15.2%
l 1840
15.2%
N 920
7.6%
o 920
7.6%
b 920
7.6%
i 920
7.6%
e 920
7.6%
v 920
7.6%
A 920
7.6%
920
7.6%
Other values (11) 1082
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9200
75.9%
Uppercase Letter 1840
 
15.2%
Space Separator 920
 
7.6%
Decimal Number 162
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 53
32.7%
6 35
21.6%
0 28
17.3%
4 15
 
9.3%
8 9
 
5.6%
7 7
 
4.3%
1 5
 
3.1%
9 4
 
2.5%
2 3
 
1.9%
3 3
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1840
20.0%
l 1840
20.0%
o 920
10.0%
b 920
10.0%
i 920
10.0%
e 920
10.0%
v 920
10.0%
t 920
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 920
50.0%
A 920
50.0%
Space Separator
ValueCountFrequency (%)
920
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11040
91.1%
Common 1082
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
920
85.0%
5 53
 
4.9%
6 35
 
3.2%
0 28
 
2.6%
4 15
 
1.4%
8 9
 
0.8%
7 7
 
0.6%
1 5
 
0.5%
9 4
 
0.4%
2 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1840
16.7%
l 1840
16.7%
N 920
8.3%
o 920
8.3%
b 920
8.3%
i 920
8.3%
e 920
8.3%
v 920
8.3%
A 920
8.3%
t 920
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1840
15.2%
l 1840
15.2%
N 920
7.6%
o 920
7.6%
b 920
7.6%
i 920
7.6%
e 920
7.6%
v 920
7.6%
A 920
7.6%
920
7.6%
Other values (11) 1082
8.9%
Distinct67
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T21:15:17.786471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.256
Min length1

Characters and Unicode

Total characters12256
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)5.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1.74
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 920
47.9%
available 920
47.9%
4 3
 
0.2%
2.7 3
 
0.2%
2.3 3
 
0.2%
2.03 2
 
0.1%
0.85 2
 
0.1%
0.78 2
 
0.1%
3.45 2
 
0.1%
4.09 2
 
0.1%
Other values (58) 61
 
3.2%
2023-12-09T21:15:18.196412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1840
15.0%
l 1840
15.0%
N 920
7.5%
t 920
7.5%
920
7.5%
A 920
7.5%
v 920
7.5%
i 920
7.5%
b 920
7.5%
e 920
7.5%
Other values (12) 1216
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9200
75.1%
Uppercase Letter 1840
 
15.0%
Space Separator 920
 
7.5%
Decimal Number 221
 
1.8%
Other Punctuation 75
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 39
17.6%
1 29
13.1%
3 27
12.2%
4 27
12.2%
5 22
10.0%
7 20
9.0%
0 18
8.1%
9 14
 
6.3%
6 13
 
5.9%
8 12
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 1840
20.0%
l 1840
20.0%
t 920
10.0%
v 920
10.0%
i 920
10.0%
b 920
10.0%
e 920
10.0%
o 920
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 920
50.0%
A 920
50.0%
Space Separator
ValueCountFrequency (%)
920
100.0%
Other Punctuation
ValueCountFrequency (%)
. 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11040
90.1%
Common 1216
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
920
75.7%
. 75
 
6.2%
2 39
 
3.2%
1 29
 
2.4%
3 27
 
2.2%
4 27
 
2.2%
5 22
 
1.8%
7 20
 
1.6%
0 18
 
1.5%
9 14
 
1.2%
Other values (2) 25
 
2.1%
Latin
ValueCountFrequency (%)
a 1840
16.7%
l 1840
16.7%
N 920
8.3%
t 920
8.3%
A 920
8.3%
v 920
8.3%
i 920
8.3%
b 920
8.3%
e 920
8.3%
o 920
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1840
15.0%
l 1840
15.0%
N 920
7.5%
t 920
7.5%
920
7.5%
A 920
7.5%
v 920
7.5%
i 920
7.5%
b 920
7.5%
e 920
7.5%
Other values (12) 1216
9.9%
Distinct49
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T21:15:18.451465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.151
Min length1

Characters and Unicode

Total characters12151
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row600
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 920
47.9%
available 920
47.9%
10 8
 
0.4%
30 4
 
0.2%
9 3
 
0.2%
4 3
 
0.2%
20 3
 
0.2%
25 3
 
0.2%
12 3
 
0.2%
794 2
 
0.1%
Other values (40) 51
 
2.7%
2023-12-09T21:15:18.814129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1840
15.1%
l 1840
15.1%
N 920
7.6%
o 920
7.6%
b 920
7.6%
i 920
7.6%
e 920
7.6%
v 920
7.6%
A 920
7.6%
920
7.6%
Other values (11) 1111
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9200
75.7%
Uppercase Letter 1840
 
15.1%
Space Separator 920
 
7.6%
Decimal Number 191
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
19.9%
1 32
16.8%
2 32
16.8%
3 22
11.5%
4 13
 
6.8%
7 13
 
6.8%
9 12
 
6.3%
5 12
 
6.3%
6 9
 
4.7%
8 8
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1840
20.0%
l 1840
20.0%
o 920
10.0%
b 920
10.0%
i 920
10.0%
e 920
10.0%
v 920
10.0%
t 920
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 920
50.0%
A 920
50.0%
Space Separator
ValueCountFrequency (%)
920
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11040
90.9%
Common 1111
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
920
82.8%
0 38
 
3.4%
1 32
 
2.9%
2 32
 
2.9%
3 22
 
2.0%
4 13
 
1.2%
7 13
 
1.2%
9 12
 
1.1%
5 12
 
1.1%
6 9
 
0.8%
Latin
ValueCountFrequency (%)
a 1840
16.7%
l 1840
16.7%
N 920
8.3%
o 920
8.3%
b 920
8.3%
i 920
8.3%
e 920
8.3%
v 920
8.3%
A 920
8.3%
t 920
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1840
15.1%
l 1840
15.1%
N 920
7.6%
o 920
7.6%
b 920
7.6%
i 920
7.6%
e 920
7.6%
v 920
7.6%
A 920
7.6%
920
7.6%
Other values (11) 1111
9.1%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:19.010919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.93
Min length4

Characters and Unicode

Total characters12930
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
590371 1
 
0.1%
520000 1
 
0.1%
861357 1
 
0.1%
5000 1
 
0.1%
131151 1
 
0.1%
927982 1
 
0.1%
286444 1
 
0.1%
1134614 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:15:19.323260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1980
15.3%
l 1980
15.3%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (11) 1050
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.6%
Uppercase Letter 1980
 
15.3%
Space Separator 990
 
7.7%
Decimal Number 60
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
18.3%
1 11
18.3%
6 6
10.0%
5 5
8.3%
7 5
8.3%
2 5
8.3%
4 5
8.3%
9 4
 
6.7%
3 4
 
6.7%
8 4
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
a 1980
20.0%
l 1980
20.0%
o 990
10.0%
b 990
10.0%
i 990
10.0%
e 990
10.0%
v 990
10.0%
t 990
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
91.9%
Common 1050
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
990
94.3%
0 11
 
1.0%
1 11
 
1.0%
6 6
 
0.6%
5 5
 
0.5%
7 5
 
0.5%
2 5
 
0.5%
4 5
 
0.5%
9 4
 
0.4%
3 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1980
16.7%
l 1980
16.7%
N 990
8.3%
o 990
8.3%
b 990
8.3%
i 990
8.3%
e 990
8.3%
v 990
8.3%
A 990
8.3%
t 990
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12930
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1980
15.3%
l 1980
15.3%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (11) 1050
8.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:19.499946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.88
Min length1

Characters and Unicode

Total characters12880
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
1 8
 
0.4%
0 2
 
0.1%
2023-12-09T21:15:19.785921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1980
15.4%
l 1980
15.4%
N 990
7.7%
o 990
7.7%
t 990
7.7%
990
7.7%
A 990
7.7%
v 990
7.7%
i 990
7.7%
b 990
7.7%
Other values (3) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.9%
Uppercase Letter 1980
 
15.4%
Space Separator 990
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1980
20.0%
l 1980
20.0%
o 990
10.0%
t 990
10.0%
v 990
10.0%
i 990
10.0%
b 990
10.0%
e 990
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Decimal Number
ValueCountFrequency (%)
1 8
80.0%
0 2
 
20.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1980
16.7%
l 1980
16.7%
N 990
8.3%
o 990
8.3%
t 990
8.3%
A 990
8.3%
v 990
8.3%
i 990
8.3%
b 990
8.3%
e 990
8.3%
Common
ValueCountFrequency (%)
990
99.0%
1 8
 
0.8%
0 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1980
15.4%
l 1980
15.4%
N 990
7.7%
o 990
7.7%
t 990
7.7%
990
7.7%
A 990
7.7%
v 990
7.7%
i 990
7.7%
b 990
7.7%
Other values (3) 1000
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:19.958238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.88
Min length1

Characters and Unicode

Total characters12880
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
0 10
 
0.5%
2023-12-09T21:15:20.248932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1980
15.4%
l 1980
15.4%
N 990
7.7%
o 990
7.7%
t 990
7.7%
990
7.7%
A 990
7.7%
v 990
7.7%
i 990
7.7%
b 990
7.7%
Other values (2) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.9%
Uppercase Letter 1980
 
15.4%
Space Separator 990
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1980
20.0%
l 1980
20.0%
o 990
10.0%
t 990
10.0%
v 990
10.0%
i 990
10.0%
b 990
10.0%
e 990
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%
Decimal Number
ValueCountFrequency (%)
0 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1980
16.7%
l 1980
16.7%
N 990
8.3%
o 990
8.3%
t 990
8.3%
A 990
8.3%
v 990
8.3%
i 990
8.3%
b 990
8.3%
e 990
8.3%
Common
ValueCountFrequency (%)
990
99.0%
0 10
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1980
15.4%
l 1980
15.4%
N 990
7.7%
o 990
7.7%
t 990
7.7%
990
7.7%
A 990
7.7%
v 990
7.7%
i 990
7.7%
b 990
7.7%
Other values (2) 1000
7.8%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:20.429441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.886
Min length1

Characters and Unicode

Total characters12886
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
20 2
 
0.1%
8 2
 
0.1%
15 2
 
0.1%
5 1
 
0.1%
13 1
 
0.1%
3 1
 
0.1%
10 1
 
0.1%
2023-12-09T21:15:20.738805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1980
15.4%
a 1980
15.4%
e 990
7.7%
b 990
7.7%
o 990
7.7%
i 990
7.7%
N 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (7) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.8%
Uppercase Letter 1980
 
15.4%
Space Separator 990
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1980
20.0%
a 1980
20.0%
e 990
10.0%
b 990
10.0%
o 990
10.0%
i 990
10.0%
v 990
10.0%
t 990
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
0 3
18.8%
5 3
18.8%
2 2
12.5%
8 2
12.5%
3 2
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1980
16.7%
a 1980
16.7%
e 990
8.3%
b 990
8.3%
o 990
8.3%
i 990
8.3%
N 990
8.3%
v 990
8.3%
A 990
8.3%
t 990
8.3%
Common
ValueCountFrequency (%)
990
98.4%
1 4
 
0.4%
0 3
 
0.3%
5 3
 
0.3%
2 2
 
0.2%
8 2
 
0.2%
3 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12886
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1980
15.4%
a 1980
15.4%
e 990
7.7%
b 990
7.7%
o 990
7.7%
i 990
7.7%
N 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (7) 1006
7.8%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:20.932589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.906
Min length2

Characters and Unicode

Total characters12906
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
2240 1
 
0.1%
1695 1
 
0.1%
2413 1
 
0.1%
3550 1
 
0.1%
13 1
 
0.1%
341 1
 
0.1%
450 1
 
0.1%
1162 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:15:21.251293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1980
15.3%
l 1980
15.3%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (10) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.7%
Uppercase Letter 1980
 
15.3%
Space Separator 990
 
7.7%
Decimal Number 36
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
16.7%
2 5
13.9%
0 5
13.9%
5 5
13.9%
4 4
11.1%
9 4
11.1%
3 4
11.1%
6 2
 
5.6%
7 1
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
a 1980
20.0%
l 1980
20.0%
o 990
10.0%
b 990
10.0%
i 990
10.0%
e 990
10.0%
v 990
10.0%
t 990
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
92.1%
Common 1026
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1980
16.7%
l 1980
16.7%
N 990
8.3%
o 990
8.3%
b 990
8.3%
i 990
8.3%
e 990
8.3%
v 990
8.3%
A 990
8.3%
t 990
8.3%
Common
ValueCountFrequency (%)
990
96.5%
1 6
 
0.6%
2 5
 
0.5%
0 5
 
0.5%
5 5
 
0.5%
4 4
 
0.4%
9 4
 
0.4%
3 4
 
0.4%
6 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1980
15.3%
l 1980
15.3%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (10) 1026
7.9%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:21.441261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.897
Min length1

Characters and Unicode

Total characters12897
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
153 1
 
0.1%
350 1
 
0.1%
80 1
 
0.1%
2 1
 
0.1%
568 1
 
0.1%
600 1
 
0.1%
894 1
 
0.1%
439 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:15:21.757059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1980
15.4%
l 1980
15.4%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (11) 1017
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.8%
Uppercase Letter 1980
 
15.4%
Space Separator 990
 
7.7%
Decimal Number 27
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4
14.8%
0 4
14.8%
3 3
11.1%
8 3
11.1%
2 3
11.1%
6 3
11.1%
1 2
7.4%
9 2
7.4%
4 2
7.4%
7 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1980
20.0%
l 1980
20.0%
o 990
10.0%
b 990
10.0%
i 990
10.0%
e 990
10.0%
v 990
10.0%
t 990
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
92.1%
Common 1017
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
990
97.3%
5 4
 
0.4%
0 4
 
0.4%
3 3
 
0.3%
8 3
 
0.3%
2 3
 
0.3%
6 3
 
0.3%
1 2
 
0.2%
9 2
 
0.2%
4 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1980
16.7%
l 1980
16.7%
N 990
8.3%
o 990
8.3%
b 990
8.3%
i 990
8.3%
e 990
8.3%
v 990
8.3%
A 990
8.3%
t 990
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1980
15.4%
l 1980
15.4%
N 990
7.7%
o 990
7.7%
b 990
7.7%
i 990
7.7%
e 990
7.7%
v 990
7.7%
A 990
7.7%
990
7.7%
Other values (11) 1017
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:21.934062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.88
Min length1

Characters and Unicode

Total characters12880
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 990
49.7%
available 990
49.7%
1 7
 
0.4%
0 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
2023-12-09T21:15:22.223961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1980
15.4%
l 1980
15.4%
N 990
7.7%
o 990
7.7%
t 990
7.7%
990
7.7%
A 990
7.7%
v 990
7.7%
i 990
7.7%
b 990
7.7%
Other values (5) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9900
76.9%
Uppercase Letter 1980
 
15.4%
Space Separator 990
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1980
20.0%
l 1980
20.0%
o 990
10.0%
t 990
10.0%
v 990
10.0%
i 990
10.0%
b 990
10.0%
e 990
10.0%
Decimal Number
ValueCountFrequency (%)
1 7
70.0%
0 1
 
10.0%
2 1
 
10.0%
4 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 990
50.0%
A 990
50.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11880
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1980
16.7%
l 1980
16.7%
N 990
8.3%
o 990
8.3%
t 990
8.3%
A 990
8.3%
v 990
8.3%
i 990
8.3%
b 990
8.3%
e 990
8.3%
Common
ValueCountFrequency (%)
990
99.0%
1 7
 
0.7%
0 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1980
15.4%
l 1980
15.4%
N 990
7.7%
o 990
7.7%
t 990
7.7%
990
7.7%
A 990
7.7%
v 990
7.7%
i 990
7.7%
b 990
7.7%
Other values (5) 1000
7.8%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:22.436373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.88
Min length5

Characters and Unicode

Total characters12880
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
200000 1
 
0.1%
2390114 1
 
0.1%
149472 1
 
0.1%
132000 1
 
0.1%
93000 1
 
0.1%
1412862 1
 
0.1%
19665 1
 
0.1%
192000 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T21:15:22.787890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1084
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.3%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.6%
Decimal Number 101
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
24.8%
2 15
14.9%
1 12
11.9%
9 11
10.9%
4 10
 
9.9%
6 10
 
9.9%
8 6
 
5.9%
3 5
 
5.0%
5 4
 
4.0%
7 3
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
b 983
10.0%
i 983
10.0%
e 983
10.0%
v 983
10.0%
t 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.6%
Common 1084
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
983
90.7%
0 25
 
2.3%
2 15
 
1.4%
1 12
 
1.1%
9 11
 
1.0%
4 10
 
0.9%
6 10
 
0.9%
8 6
 
0.6%
3 5
 
0.5%
5 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
b 983
8.3%
i 983
8.3%
e 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1084
8.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:22.965508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.892
Min length1

Characters and Unicode

Total characters12892
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
0 9
 
0.5%
2023-12-09T21:15:23.251405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1982
15.4%
l 1982
15.4%
N 991
7.7%
o 991
7.7%
t 991
7.7%
991
7.7%
A 991
7.7%
v 991
7.7%
i 991
7.7%
b 991
7.7%
Other values (2) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.9%
Uppercase Letter 1982
 
15.4%
Space Separator 991
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1982
20.0%
l 1982
20.0%
o 991
10.0%
t 991
10.0%
v 991
10.0%
i 991
10.0%
b 991
10.0%
e 991
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%
Decimal Number
ValueCountFrequency (%)
0 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1982
16.7%
l 1982
16.7%
N 991
8.3%
o 991
8.3%
t 991
8.3%
A 991
8.3%
v 991
8.3%
i 991
8.3%
b 991
8.3%
e 991
8.3%
Common
ValueCountFrequency (%)
991
99.1%
0 9
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1982
15.4%
l 1982
15.4%
N 991
7.7%
o 991
7.7%
t 991
7.7%
991
7.7%
A 991
7.7%
v 991
7.7%
i 991
7.7%
b 991
7.7%
Other values (2) 1000
7.8%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:23.435079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.909
Min length1

Characters and Unicode

Total characters12909
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
0 2
 
0.1%
2000 2
 
0.1%
1850 1
 
0.1%
2200 1
 
0.1%
1 1
 
0.1%
1951 1
 
0.1%
280 1
 
0.1%
2023-12-09T21:15:23.734079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1982
15.4%
a 1982
15.4%
e 991
7.7%
b 991
7.7%
o 991
7.7%
i 991
7.7%
N 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (7) 1017
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.8%
Uppercase Letter 1982
 
15.4%
Space Separator 991
 
7.7%
Decimal Number 26
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1982
20.0%
a 1982
20.0%
e 991
10.0%
b 991
10.0%
o 991
10.0%
i 991
10.0%
v 991
10.0%
t 991
10.0%
Decimal Number
ValueCountFrequency (%)
0 12
46.2%
2 5
19.2%
1 4
 
15.4%
8 2
 
7.7%
5 2
 
7.7%
9 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
92.1%
Common 1017
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1982
16.7%
a 1982
16.7%
e 991
8.3%
b 991
8.3%
o 991
8.3%
i 991
8.3%
N 991
8.3%
v 991
8.3%
A 991
8.3%
t 991
8.3%
Common
ValueCountFrequency (%)
991
97.4%
0 12
 
1.2%
2 5
 
0.5%
1 4
 
0.4%
8 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1982
15.4%
a 1982
15.4%
e 991
7.7%
b 991
7.7%
o 991
7.7%
i 991
7.7%
N 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (7) 1017
7.9%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:23.933995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.831
Min length2

Characters and Unicode

Total characters12831
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
1949 1
 
0.1%
214 1
 
0.1%
912 1
 
0.1%
563 1
 
0.1%
1704 1
 
0.1%
204 1
 
0.1%
200 1
 
0.1%
70 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T21:15:24.262805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
o 983
7.7%
b 983
7.7%
i 983
7.7%
e 983
7.7%
v 983
7.7%
A 983
7.7%
983
7.7%
Other values (11) 1035
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.6%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.7%
Decimal Number 52
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 11
21.2%
1 7
13.5%
0 7
13.5%
3 6
11.5%
5 5
9.6%
7 4
 
7.7%
9 4
 
7.7%
4 4
 
7.7%
8 2
 
3.8%
6 2
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
b 983
10.0%
i 983
10.0%
e 983
10.0%
v 983
10.0%
t 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.9%
Common 1035
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
983
95.0%
2 11
 
1.1%
1 7
 
0.7%
0 7
 
0.7%
3 6
 
0.6%
5 5
 
0.5%
7 4
 
0.4%
9 4
 
0.4%
4 4
 
0.4%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
b 983
8.3%
i 983
8.3%
e 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12831
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
o 983
7.7%
b 983
7.7%
i 983
7.7%
e 983
7.7%
v 983
7.7%
A 983
7.7%
983
7.7%
Other values (11) 1035
8.1%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:24.464109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.846
Min length3

Characters and Unicode

Total characters12846
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
1.43 2
 
0.1%
0.82 2
 
0.1%
1.23 1
 
0.1%
3.56 1
 
0.1%
3.63 1
 
0.1%
1.35 1
 
0.1%
0.78 1
 
0.1%
1.95 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T21:15:24.779486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
e 983
7.7%
Other values (12) 1050
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.5%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.7%
Decimal Number 50
 
0.4%
Other Punctuation 17
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11
22.0%
3 9
18.0%
2 8
16.0%
8 6
12.0%
0 5
10.0%
5 4
 
8.0%
4 2
 
4.0%
9 2
 
4.0%
6 2
 
4.0%
7 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
o 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Other Punctuation
ValueCountFrequency (%)
. 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.8%
Common 1050
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
983
93.6%
. 17
 
1.6%
1 11
 
1.0%
3 9
 
0.9%
2 8
 
0.8%
8 6
 
0.6%
0 5
 
0.5%
5 4
 
0.4%
4 2
 
0.2%
9 2
 
0.2%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
o 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
e 983
7.7%
Other values (12) 1050
8.2%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T21:15:25.018318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length36
Median length13
Mean length13.107
Min length13

Characters and Unicode

Total characters13107
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
48.8%
available 986
48.8%
no 10
 
0.5%
laundry 10
 
0.5%
facility 10
 
0.5%
terry 4
 
0.2%
both 3
 
0.1%
linens 3
 
0.1%
and 3
 
0.1%
only 1
 
< 0.1%
Other values (3) 3
 
0.1%
2023-12-09T21:15:25.324760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1997
15.2%
a 1996
15.2%
1019
7.8%
i 1009
7.7%
t 1004
7.7%
o 1002
7.6%
N 996
7.6%
e 996
7.6%
b 988
7.5%
A 986
7.5%
Other values (18) 1114
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10096
77.0%
Uppercase Letter 1986
 
15.2%
Space Separator 1019
 
7.8%
Other Punctuation 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1997
19.8%
a 1996
19.8%
i 1009
10.0%
t 1004
9.9%
o 1002
9.9%
e 996
9.9%
b 988
9.8%
v 986
9.8%
y 25
 
0.2%
n 20
 
0.2%
Other values (9) 73
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.2%
A 986
49.6%
B 3
 
0.2%
T 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%
Space Separator
ValueCountFrequency (%)
1019
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12082
92.2%
Common 1025
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1997
16.5%
a 1996
16.5%
i 1009
8.4%
t 1004
8.3%
o 1002
8.3%
N 996
8.2%
e 996
8.2%
b 988
8.2%
A 986
8.2%
v 986
8.2%
Other values (13) 122
 
1.0%
Common
ValueCountFrequency (%)
1019
99.4%
. 2
 
0.2%
, 2
 
0.2%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1997
15.2%
a 1996
15.2%
1019
7.8%
i 1009
7.7%
t 1004
7.7%
o 1002
7.6%
N 996
7.6%
e 996
7.6%
b 988
7.5%
A 986
7.5%
Other values (18) 1114
8.5%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:25.503516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.91
Min length1

Characters and Unicode

Total characters12910
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
0 6
 
0.3%
4000000 1
 
0.1%
1704008 1
 
0.1%
3000000 1
 
0.1%
2023-12-09T21:15:25.791906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1982
15.4%
a 1982
15.4%
e 991
7.7%
b 991
7.7%
o 991
7.7%
i 991
7.7%
N 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (7) 1018
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.8%
Uppercase Letter 1982
 
15.4%
Space Separator 991
 
7.7%
Decimal Number 27
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1982
20.0%
a 1982
20.0%
e 991
10.0%
b 991
10.0%
o 991
10.0%
i 991
10.0%
v 991
10.0%
t 991
10.0%
Decimal Number
ValueCountFrequency (%)
0 21
77.8%
4 2
 
7.4%
1 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
3 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
92.1%
Common 1018
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1982
16.7%
a 1982
16.7%
e 991
8.3%
b 991
8.3%
o 991
8.3%
i 991
8.3%
N 991
8.3%
v 991
8.3%
A 991
8.3%
t 991
8.3%
Common
ValueCountFrequency (%)
991
97.3%
0 21
 
2.1%
4 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1982
15.4%
a 1982
15.4%
e 991
7.7%
b 991
7.7%
o 991
7.7%
i 991
7.7%
N 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (7) 1018
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:25.962802image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.828
Min length2

Characters and Unicode

Total characters12828
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
100 15
 
0.8%
90 2
 
0.1%
2023-12-09T21:15:26.247617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (4) 1032
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.6%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.7%
Decimal Number 49
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
Decimal Number
ValueCountFrequency (%)
0 32
65.3%
1 15
30.6%
9 2
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
92.0%
Common 1032
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
Common
ValueCountFrequency (%)
983
95.3%
0 32
 
3.1%
1 15
 
1.5%
9 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (4) 1032
8.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:26.418412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.796
Min length1

Characters and Unicode

Total characters12796
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
1 13
 
0.7%
0 4
 
0.2%
2023-12-09T21:15:26.698833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.4%
l 1966
15.4%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (3) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.8%
Uppercase Letter 1966
 
15.4%
Space Separator 983
 
7.7%
Decimal Number 17
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Decimal Number
ValueCountFrequency (%)
1 13
76.5%
0 4
 
23.5%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
Common
ValueCountFrequency (%)
983
98.3%
1 13
 
1.3%
0 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.4%
l 1966
15.4%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (3) 1000
7.8%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:26.890522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.846
Min length3

Characters and Unicode

Total characters12846
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
0.32 4
 
0.2%
0.46 1
 
0.1%
0.81 1
 
0.1%
0.35 1
 
0.1%
0.42 1
 
0.1%
0.72 1
 
0.1%
0.48 1
 
0.1%
0.51 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T21:15:27.192773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
e 983
7.7%
Other values (12) 1050
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.5%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.7%
Decimal Number 50
 
0.4%
Other Punctuation 17
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
32.0%
3 6
 
12.0%
2 6
 
12.0%
4 5
 
10.0%
1 4
 
8.0%
6 3
 
6.0%
8 3
 
6.0%
5 3
 
6.0%
7 3
 
6.0%
9 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
o 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Other Punctuation
ValueCountFrequency (%)
. 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.8%
Common 1050
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
983
93.6%
. 17
 
1.6%
0 16
 
1.5%
3 6
 
0.6%
2 6
 
0.6%
4 5
 
0.5%
1 4
 
0.4%
6 3
 
0.3%
8 3
 
0.3%
5 3
 
0.3%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
o 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
e 983
7.7%
Other values (12) 1050
8.2%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:15:27.374775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.965
Min length4

Characters and Unicode

Total characters12965
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
1021 2
 
0.1%
4200 1
 
0.1%
10411 1
 
0.1%
2023-12-09T21:15:27.657832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (5) 1013
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 17
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Decimal Number
ValueCountFrequency (%)
1 7
41.2%
0 5
29.4%
2 3
17.6%
4 2
 
11.8%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1013
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
98.3%
1 7
 
0.7%
0 5
 
0.5%
2 3
 
0.3%
4 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12965
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (5) 1013
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:27.828549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length1

Characters and Unicode

Total characters12952
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
0 3
 
0.2%
1 1
 
0.1%
2023-12-09T21:15:28.111172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
1 1
 
25.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
99.6%
0 3
 
0.3%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1000
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:28.288498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.956
Min length2

Characters and Unicode

Total characters12956
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
40 2
 
0.1%
33 1
 
0.1%
80 1
 
0.1%
2023-12-09T21:15:28.571833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
4 2
25.0%
3 2
25.0%
8 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
99.2%
0 3
 
0.3%
4 2
 
0.2%
3 2
 
0.2%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (5) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:28.743469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length1

Characters and Unicode

Total characters12952
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
0 4
 
0.2%
2023-12-09T21:15:29.025086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Decimal Number
ValueCountFrequency (%)
0 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
99.6%
0 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:29.223137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.87
Min length4

Characters and Unicode

Total characters12870
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
163020 2
 
0.1%
265000 1
 
0.1%
7000 1
 
0.1%
80500 1
 
0.1%
13150 1
 
0.1%
133787 1
 
0.1%
59431 1
 
0.1%
72000 1
 
0.1%
Other values (8) 8
 
0.4%
2023-12-09T21:15:29.538140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1074
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.4%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.6%
Decimal Number 91
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
41.8%
1 14
 
15.4%
3 8
 
8.8%
6 6
 
6.6%
8 6
 
6.6%
5 5
 
5.5%
2 4
 
4.4%
7 4
 
4.4%
4 3
 
3.3%
9 3
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
b 983
10.0%
i 983
10.0%
e 983
10.0%
v 983
10.0%
t 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.7%
Common 1074
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
983
91.5%
0 38
 
3.5%
1 14
 
1.3%
3 8
 
0.7%
6 6
 
0.6%
8 6
 
0.6%
5 5
 
0.5%
2 4
 
0.4%
7 4
 
0.4%
4 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
b 983
8.3%
i 983
8.3%
e 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
o 983
7.6%
b 983
7.6%
i 983
7.6%
e 983
7.6%
v 983
7.6%
A 983
7.6%
983
7.6%
Other values (11) 1074
8.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:29.715844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.796
Min length1

Characters and Unicode

Total characters12796
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
0 9
 
0.5%
1 8
 
0.4%
2023-12-09T21:15:29.995192image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.4%
l 1966
15.4%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (3) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.8%
Uppercase Letter 1966
 
15.4%
Space Separator 983
 
7.7%
Decimal Number 17
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Decimal Number
ValueCountFrequency (%)
0 9
52.9%
1 8
47.1%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
Common
ValueCountFrequency (%)
983
98.3%
0 9
 
0.9%
1 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.4%
l 1966
15.4%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (3) 1000
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:30.166544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.796
Min length1

Characters and Unicode

Total characters12796
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
1 12
 
0.6%
0 5
 
0.3%
2023-12-09T21:15:30.450215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.4%
l 1966
15.4%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (3) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.8%
Uppercase Letter 1966
 
15.4%
Space Separator 983
 
7.7%
Decimal Number 17
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Decimal Number
ValueCountFrequency (%)
1 12
70.6%
0 5
29.4%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
Common
ValueCountFrequency (%)
983
98.3%
1 12
 
1.2%
0 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.4%
l 1966
15.4%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (3) 1000
7.8%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:30.643184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.84
Min length1

Characters and Unicode

Total characters12840
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
2.98 2
 
0.1%
0 1
 
0.1%
3.5 1
 
0.1%
1.89 1
 
0.1%
4.49 1
 
0.1%
3.12 1
 
0.1%
1.83 1
 
0.1%
1.88 1
 
0.1%
Other values (8) 8
 
0.4%
2023-12-09T21:15:30.955747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
e 983
7.7%
Other values (12) 1044
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.6%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.7%
Decimal Number 46
 
0.4%
Other Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 7
15.2%
1 7
15.2%
2 7
15.2%
0 5
10.9%
4 5
10.9%
9 5
10.9%
3 4
8.7%
6 3
6.5%
7 2
 
4.3%
5 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
o 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.9%
Common 1044
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
983
94.2%
. 15
 
1.4%
8 7
 
0.7%
1 7
 
0.7%
2 7
 
0.7%
0 5
 
0.5%
4 5
 
0.5%
9 5
 
0.5%
3 4
 
0.4%
6 3
 
0.3%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
o 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
e 983
7.7%
Other values (12) 1044
8.1%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:31.136910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.821
Min length1

Characters and Unicode

Total characters12821
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
100 9
 
0.5%
90 2
 
0.1%
50 1
 
0.1%
0 1
 
0.1%
30 1
 
0.1%
73 1
 
0.1%
40 1
 
0.1%
70 1
 
0.1%
2023-12-09T21:15:31.435525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
e 983
7.7%
o 983
7.7%
i 983
7.7%
b 983
7.7%
v 983
7.7%
A 983
7.7%
983
7.7%
Other values (8) 1025
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.7%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.7%
Decimal Number 42
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
e 983
10.0%
o 983
10.0%
i 983
10.0%
b 983
10.0%
v 983
10.0%
t 983
10.0%
Decimal Number
ValueCountFrequency (%)
0 25
59.5%
1 9
 
21.4%
9 2
 
4.8%
3 2
 
4.8%
7 2
 
4.8%
5 1
 
2.4%
4 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
92.0%
Common 1025
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
e 983
8.3%
o 983
8.3%
i 983
8.3%
b 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%
Common
ValueCountFrequency (%)
983
95.9%
0 25
 
2.4%
1 9
 
0.9%
9 2
 
0.2%
3 2
 
0.2%
7 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12821
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
e 983
7.7%
o 983
7.7%
i 983
7.7%
b 983
7.7%
v 983
7.7%
A 983
7.7%
983
7.7%
Other values (8) 1025
8.0%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:31.613465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.829
Min length1

Characters and Unicode

Total characters12829
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
0 6
 
0.3%
0.02 5
 
0.3%
0.01 4
 
0.2%
0.03 1
 
0.1%
0.05 1
 
0.1%
2023-12-09T21:15:31.908961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1966
15.3%
a 1966
15.3%
e 983
7.7%
b 983
7.7%
o 983
7.7%
i 983
7.7%
N 983
7.7%
v 983
7.7%
A 983
7.7%
983
7.7%
Other values (7) 1033
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.6%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.7%
Decimal Number 39
 
0.3%
Other Punctuation 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1966
20.0%
a 1966
20.0%
e 983
10.0%
b 983
10.0%
o 983
10.0%
i 983
10.0%
v 983
10.0%
t 983
10.0%
Decimal Number
ValueCountFrequency (%)
0 28
71.8%
2 5
 
12.8%
1 4
 
10.3%
3 1
 
2.6%
5 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.9%
Common 1033
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1966
16.7%
a 1966
16.7%
e 983
8.3%
b 983
8.3%
o 983
8.3%
i 983
8.3%
N 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%
Common
ValueCountFrequency (%)
983
95.2%
0 28
 
2.7%
. 11
 
1.1%
2 5
 
0.5%
1 4
 
0.4%
3 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12829
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1966
15.3%
a 1966
15.3%
e 983
7.7%
b 983
7.7%
o 983
7.7%
i 983
7.7%
N 983
7.7%
v 983
7.7%
A 983
7.7%
983
7.7%
Other values (7) 1033
8.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:15:32.081708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.796
Min length1

Characters and Unicode

Total characters12796
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
1 10
 
0.5%
0 7
 
0.4%
2023-12-09T21:15:32.368960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.4%
l 1966
15.4%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (3) 1000
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.8%
Uppercase Letter 1966
 
15.4%
Space Separator 983
 
7.7%
Decimal Number 17
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Decimal Number
ValueCountFrequency (%)
1 10
58.8%
0 7
41.2%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
92.2%
Common 1000
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
Common
ValueCountFrequency (%)
983
98.3%
1 10
 
1.0%
0 7
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.4%
l 1966
15.4%
N 983
7.7%
o 983
7.7%
t 983
7.7%
983
7.7%
A 983
7.7%
v 983
7.7%
i 983
7.7%
b 983
7.7%
Other values (3) 1000
7.8%
Distinct35
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:15:32.598310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.654
Min length3

Characters and Unicode

Total characters12654
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 960
49.0%
available 960
49.0%
5000 3
 
0.2%
1585 2
 
0.1%
1500 2
 
0.1%
4000 2
 
0.1%
865 2
 
0.1%
650 1
 
0.1%
178636 1
 
0.1%
2000 1
 
0.1%
Other values (26) 26
 
1.3%
2023-12-09T21:15:32.944612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1920
15.2%
l 1920
15.2%
N 960
7.6%
o 960
7.6%
b 960
7.6%
i 960
7.6%
e 960
7.6%
v 960
7.6%
A 960
7.6%
960
7.6%
Other values (11) 1134
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9600
75.9%
Uppercase Letter 1920
 
15.2%
Space Separator 960
 
7.6%
Decimal Number 174
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
33.9%
5 25
14.4%
1 22
 
12.6%
6 14
 
8.0%
4 11
 
6.3%
3 10
 
5.7%
8 9
 
5.2%
2 9
 
5.2%
7 8
 
4.6%
9 7
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
a 1920
20.0%
l 1920
20.0%
o 960
10.0%
b 960
10.0%
i 960
10.0%
e 960
10.0%
v 960
10.0%
t 960
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 960
50.0%
A 960
50.0%
Space Separator
ValueCountFrequency (%)
960
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11520
91.0%
Common 1134
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
960
84.7%
0 59
 
5.2%
5 25
 
2.2%
1 22
 
1.9%
6 14
 
1.2%
4 11
 
1.0%
3 10
 
0.9%
8 9
 
0.8%
2 9
 
0.8%
7 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1920
16.7%
l 1920
16.7%
N 960
8.3%
o 960
8.3%
b 960
8.3%
i 960
8.3%
e 960
8.3%
v 960
8.3%
A 960
8.3%
t 960
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12654
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1920
15.2%
l 1920
15.2%
N 960
7.6%
o 960
7.6%
b 960
7.6%
i 960
7.6%
e 960
7.6%
v 960
7.6%
A 960
7.6%
960
7.6%
Other values (11) 1134
9.0%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T21:15:33.170703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.549
Min length1

Characters and Unicode

Total characters12549
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 960
49.0%
available 960
49.0%
5 4
 
0.2%
8 3
 
0.2%
2 3
 
0.2%
4 3
 
0.2%
13 3
 
0.2%
9 2
 
0.1%
22 2
 
0.1%
3 2
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T21:15:33.500481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1920
15.3%
l 1920
15.3%
N 960
7.7%
o 960
7.7%
b 960
7.7%
i 960
7.7%
e 960
7.7%
v 960
7.7%
A 960
7.7%
960
7.7%
Other values (11) 1029
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9600
76.5%
Uppercase Letter 1920
 
15.3%
Space Separator 960
 
7.7%
Decimal Number 69
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 13
18.8%
1 12
17.4%
3 9
13.0%
4 8
11.6%
0 7
10.1%
5 6
8.7%
8 5
 
7.2%
9 4
 
5.8%
6 4
 
5.8%
7 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 1920
20.0%
l 1920
20.0%
o 960
10.0%
b 960
10.0%
i 960
10.0%
e 960
10.0%
v 960
10.0%
t 960
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 960
50.0%
A 960
50.0%
Space Separator
ValueCountFrequency (%)
960
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11520
91.8%
Common 1029
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
960
93.3%
2 13
 
1.3%
1 12
 
1.2%
3 9
 
0.9%
4 8
 
0.8%
0 7
 
0.7%
5 6
 
0.6%
8 5
 
0.5%
9 4
 
0.4%
6 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1920
16.7%
l 1920
16.7%
N 960
8.3%
o 960
8.3%
b 960
8.3%
i 960
8.3%
e 960
8.3%
v 960
8.3%
A 960
8.3%
t 960
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1920
15.3%
l 1920
15.3%
N 960
7.7%
o 960
7.7%
b 960
7.7%
i 960
7.7%
e 960
7.7%
v 960
7.7%
A 960
7.7%
960
7.7%
Other values (11) 1029
8.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:15:33.676475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.6
Min length2

Characters and Unicode

Total characters12600
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 960
49.0%
available 960
49.0%
100 37
 
1.9%
90 1
 
0.1%
10 1
 
0.1%
94.19 1
 
0.1%
2023-12-09T21:15:33.966071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1920
15.2%
l 1920
15.2%
N 960
7.6%
o 960
7.6%
t 960
7.6%
960
7.6%
A 960
7.6%
v 960
7.6%
i 960
7.6%
b 960
7.6%
Other values (6) 1080
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9600
76.2%
Uppercase Letter 1920
 
15.2%
Space Separator 960
 
7.6%
Decimal Number 119
 
0.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1920
20.0%
l 1920
20.0%
o 960
10.0%
t 960
10.0%
v 960
10.0%
i 960
10.0%
b 960
10.0%
e 960
10.0%
Decimal Number
ValueCountFrequency (%)
0 76
63.9%
1 39
32.8%
9 3
 
2.5%
4 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 960
50.0%
A 960
50.0%
Space Separator
ValueCountFrequency (%)
960
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11520
91.4%
Common 1080
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1920
16.7%
l 1920
16.7%
N 960
8.3%
o 960
8.3%
t 960
8.3%
A 960
8.3%
v 960
8.3%
i 960
8.3%
b 960
8.3%
e 960
8.3%
Common
ValueCountFrequency (%)
960
88.9%
0 76
 
7.0%
1 39
 
3.6%
9 3
 
0.3%
4 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1920
15.2%
l 1920
15.2%
N 960
7.6%
o 960
7.6%
t 960
7.6%
960
7.6%
A 960
7.6%
v 960
7.6%
i 960
7.6%
b 960
7.6%
Other values (6) 1080
8.6%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:15:34.168077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.561
Min length1

Characters and Unicode

Total characters12561
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 960
49.0%
available 960
49.0%
65 13
 
0.7%
40 9
 
0.5%
36 2
 
0.1%
60 2
 
0.1%
55 2
 
0.1%
59 1
 
0.1%
54 1
 
0.1%
50 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T21:15:34.490788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1920
15.3%
l 1920
15.3%
N 960
7.6%
o 960
7.6%
b 960
7.6%
i 960
7.6%
e 960
7.6%
v 960
7.6%
A 960
7.6%
960
7.6%
Other values (10) 1041
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9600
76.4%
Uppercase Letter 1920
 
15.3%
Space Separator 960
 
7.6%
Decimal Number 81
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
24.7%
6 19
23.5%
0 15
18.5%
4 13
16.0%
3 4
 
4.9%
1 3
 
3.7%
2 3
 
3.7%
9 2
 
2.5%
8 2
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
a 1920
20.0%
l 1920
20.0%
o 960
10.0%
b 960
10.0%
i 960
10.0%
e 960
10.0%
v 960
10.0%
t 960
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 960
50.0%
A 960
50.0%
Space Separator
ValueCountFrequency (%)
960
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11520
91.7%
Common 1041
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1920
16.7%
l 1920
16.7%
N 960
8.3%
o 960
8.3%
b 960
8.3%
i 960
8.3%
e 960
8.3%
v 960
8.3%
A 960
8.3%
t 960
8.3%
Common
ValueCountFrequency (%)
960
92.2%
5 20
 
1.9%
6 19
 
1.8%
0 15
 
1.4%
4 13
 
1.2%
3 4
 
0.4%
1 3
 
0.3%
2 3
 
0.3%
9 2
 
0.2%
8 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12561
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1920
15.3%
l 1920
15.3%
N 960
7.6%
o 960
7.6%
b 960
7.6%
i 960
7.6%
e 960
7.6%
v 960
7.6%
A 960
7.6%
960
7.6%
Other values (10) 1041
8.3%
Distinct386
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2023-12-09T21:15:34.929719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.705
Min length4

Characters and Unicode

Total characters9705
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)33.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 562
36.0%
available 562
36.0%
59800 4
 
0.3%
70400 4
 
0.3%
85757 3
 
0.2%
55000 3
 
0.2%
68874 2
 
0.1%
214842 2
 
0.1%
469990 2
 
0.1%
143441 2
 
0.1%
Other values (377) 416
26.6%
2023-12-09T21:15:35.514912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1124
 
11.6%
l 1124
 
11.6%
N 562
 
5.8%
o 562
 
5.8%
b 562
 
5.8%
i 562
 
5.8%
e 562
 
5.8%
v 562
 
5.8%
A 562
 
5.8%
562
 
5.8%
Other values (11) 2961
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5620
57.9%
Decimal Number 2399
24.7%
Uppercase Letter 1124
 
11.6%
Space Separator 562
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 425
17.7%
1 285
11.9%
5 242
10.1%
4 238
9.9%
7 222
9.3%
6 221
9.2%
2 203
8.5%
9 196
8.2%
8 193
8.0%
3 174
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1124
20.0%
l 1124
20.0%
o 562
10.0%
b 562
10.0%
i 562
10.0%
e 562
10.0%
v 562
10.0%
t 562
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 562
50.0%
A 562
50.0%
Space Separator
ValueCountFrequency (%)
562
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6744
69.5%
Common 2961
30.5%

Most frequent character per script

Common
ValueCountFrequency (%)
562
19.0%
0 425
14.4%
1 285
9.6%
5 242
8.2%
4 238
8.0%
7 222
 
7.5%
6 221
 
7.5%
2 203
 
6.9%
9 196
 
6.6%
8 193
 
6.5%
Latin
ValueCountFrequency (%)
a 1124
16.7%
l 1124
16.7%
N 562
8.3%
o 562
8.3%
b 562
8.3%
i 562
8.3%
e 562
8.3%
v 562
8.3%
A 562
8.3%
t 562
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1124
 
11.6%
l 1124
 
11.6%
N 562
 
5.8%
o 562
 
5.8%
b 562
 
5.8%
i 562
 
5.8%
e 562
 
5.8%
v 562
 
5.8%
A 562
 
5.8%
562
 
5.8%
Other values (11) 2961
30.5%
Distinct155
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T21:15:35.939993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.875
Min length1

Characters and Unicode

Total characters8875
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)10.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 630
38.7%
available 630
38.7%
0 129
 
7.9%
2 7
 
0.4%
21 5
 
0.3%
10 5
 
0.3%
58 4
 
0.2%
48 4
 
0.2%
30 4
 
0.2%
8 4
 
0.2%
Other values (146) 208
 
12.8%
2023-12-09T21:15:36.480371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1260
14.2%
l 1260
14.2%
N 630
7.1%
o 630
7.1%
b 630
7.1%
i 630
7.1%
e 630
7.1%
v 630
7.1%
A 630
7.1%
630
7.1%
Other values (11) 1315
14.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6300
71.0%
Uppercase Letter 1260
 
14.2%
Decimal Number 685
 
7.7%
Space Separator 630
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 199
29.1%
1 101
14.7%
2 72
 
10.5%
5 55
 
8.0%
4 53
 
7.7%
3 51
 
7.4%
8 46
 
6.7%
6 42
 
6.1%
7 39
 
5.7%
9 27
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 1260
20.0%
l 1260
20.0%
o 630
10.0%
b 630
10.0%
i 630
10.0%
e 630
10.0%
v 630
10.0%
t 630
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 630
50.0%
A 630
50.0%
Space Separator
ValueCountFrequency (%)
630
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7560
85.2%
Common 1315
 
14.8%

Most frequent character per script

Common
ValueCountFrequency (%)
630
47.9%
0 199
 
15.1%
1 101
 
7.7%
2 72
 
5.5%
5 55
 
4.2%
4 53
 
4.0%
3 51
 
3.9%
8 46
 
3.5%
6 42
 
3.2%
7 39
 
3.0%
Latin
ValueCountFrequency (%)
a 1260
16.7%
l 1260
16.7%
N 630
8.3%
o 630
8.3%
b 630
8.3%
i 630
8.3%
e 630
8.3%
v 630
8.3%
A 630
8.3%
t 630
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1260
14.2%
l 1260
14.2%
N 630
7.1%
o 630
7.1%
b 630
7.1%
i 630
7.1%
e 630
7.1%
v 630
7.1%
A 630
7.1%
630
7.1%
Other values (11) 1315
14.8%
Distinct40
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size64.3 KiB
2023-12-09T21:15:36.710727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.72
Min length1

Characters and Unicode

Total characters8720
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 632
38.7%
available 632
38.7%
0 104
 
6.4%
6 28
 
1.7%
10 27
 
1.7%
8 25
 
1.5%
4 24
 
1.5%
12 17
 
1.0%
16 16
 
1.0%
7 15
 
0.9%
Other values (31) 112
 
6.9%
2023-12-09T21:15:37.053384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1264
14.5%
l 1264
14.5%
N 632
7.2%
o 632
7.2%
b 632
7.2%
i 632
7.2%
e 632
7.2%
v 632
7.2%
A 632
7.2%
632
7.2%
Other values (11) 1136
13.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6320
72.5%
Uppercase Letter 1264
 
14.5%
Space Separator 632
 
7.2%
Decimal Number 504
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 145
28.8%
1 106
21.0%
6 50
 
9.9%
4 48
 
9.5%
2 40
 
7.9%
8 34
 
6.7%
7 22
 
4.4%
5 21
 
4.2%
3 21
 
4.2%
9 17
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1264
20.0%
l 1264
20.0%
o 632
10.0%
b 632
10.0%
i 632
10.0%
e 632
10.0%
v 632
10.0%
t 632
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 632
50.0%
A 632
50.0%
Space Separator
ValueCountFrequency (%)
632
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7584
87.0%
Common 1136
 
13.0%

Most frequent character per script

Common
ValueCountFrequency (%)
632
55.6%
0 145
 
12.8%
1 106
 
9.3%
6 50
 
4.4%
4 48
 
4.2%
2 40
 
3.5%
8 34
 
3.0%
7 22
 
1.9%
5 21
 
1.8%
3 21
 
1.8%
Latin
ValueCountFrequency (%)
a 1264
16.7%
l 1264
16.7%
N 632
8.3%
o 632
8.3%
b 632
8.3%
i 632
8.3%
e 632
8.3%
v 632
8.3%
A 632
8.3%
t 632
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1264
14.5%
l 1264
14.5%
N 632
7.2%
o 632
7.2%
b 632
7.2%
i 632
7.2%
e 632
7.2%
v 632
7.2%
A 632
7.2%
632
7.2%
Other values (11) 1136
13.0%
Distinct97
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T21:15:37.368753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.836
Min length1

Characters and Unicode

Total characters8836
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)5.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 635
38.8%
available 635
38.8%
0 167
 
10.2%
10 8
 
0.5%
22 8
 
0.5%
33 8
 
0.5%
24 7
 
0.4%
30 6
 
0.4%
20 6
 
0.4%
4 6
 
0.4%
Other values (88) 149
 
9.1%
2023-12-09T21:15:37.801257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1270
14.4%
l 1270
14.4%
N 635
7.2%
o 635
7.2%
b 635
7.2%
i 635
7.2%
e 635
7.2%
v 635
7.2%
A 635
7.2%
635
7.2%
Other values (11) 1216
13.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6350
71.9%
Uppercase Letter 1270
 
14.4%
Space Separator 635
 
7.2%
Decimal Number 581
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
37.3%
2 72
 
12.4%
1 65
 
11.2%
4 56
 
9.6%
3 51
 
8.8%
6 40
 
6.9%
8 29
 
5.0%
5 21
 
3.6%
7 16
 
2.8%
9 14
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
a 1270
20.0%
l 1270
20.0%
o 635
10.0%
b 635
10.0%
i 635
10.0%
e 635
10.0%
v 635
10.0%
t 635
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 635
50.0%
A 635
50.0%
Space Separator
ValueCountFrequency (%)
635
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7620
86.2%
Common 1216
 
13.8%

Most frequent character per script

Common
ValueCountFrequency (%)
635
52.2%
0 217
 
17.8%
2 72
 
5.9%
1 65
 
5.3%
4 56
 
4.6%
3 51
 
4.2%
6 40
 
3.3%
8 29
 
2.4%
5 21
 
1.7%
7 16
 
1.3%
Latin
ValueCountFrequency (%)
a 1270
16.7%
l 1270
16.7%
N 635
8.3%
o 635
8.3%
b 635
8.3%
i 635
8.3%
e 635
8.3%
v 635
8.3%
A 635
8.3%
t 635
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1270
14.4%
l 1270
14.4%
N 635
7.2%
o 635
7.2%
b 635
7.2%
i 635
7.2%
e 635
7.2%
v 635
7.2%
A 635
7.2%
635
7.2%
Other values (11) 1216
13.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T21:15:37.977730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length7.746
Min length1

Characters and Unicode

Total characters7746
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 562
36.0%
available 562
36.0%
0 425
27.2%
1 12
 
0.8%
0.0 1
 
0.1%
2023-12-09T21:15:38.264847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1124
14.5%
l 1124
14.5%
N 562
7.3%
o 562
7.3%
t 562
7.3%
562
7.3%
A 562
7.3%
v 562
7.3%
i 562
7.3%
b 562
7.3%
Other values (4) 1002
12.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5620
72.6%
Uppercase Letter 1124
 
14.5%
Space Separator 562
 
7.3%
Decimal Number 439
 
5.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1124
20.0%
l 1124
20.0%
o 562
10.0%
t 562
10.0%
v 562
10.0%
i 562
10.0%
b 562
10.0%
e 562
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 562
50.0%
A 562
50.0%
Decimal Number
ValueCountFrequency (%)
0 427
97.3%
1 12
 
2.7%
Space Separator
ValueCountFrequency (%)
562
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6744
87.1%
Common 1002
 
12.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1124
16.7%
l 1124
16.7%
N 562
8.3%
o 562
8.3%
t 562
8.3%
A 562
8.3%
v 562
8.3%
i 562
8.3%
b 562
8.3%
e 562
8.3%
Common
ValueCountFrequency (%)
562
56.1%
0 427
42.6%
1 12
 
1.2%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1124
14.5%
l 1124
14.5%
N 562
7.3%
o 562
7.3%
t 562
7.3%
562
7.3%
A 562
7.3%
v 562
7.3%
i 562
7.3%
b 562
7.3%
Other values (4) 1002
12.9%
Distinct49
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size64.3 KiB
2023-12-09T21:15:38.501247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.68
Min length1

Characters and Unicode

Total characters8680
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 623
38.4%
available 623
38.4%
6 99
 
6.1%
5 33
 
2.0%
16 23
 
1.4%
13 19
 
1.2%
15 18
 
1.1%
7 15
 
0.9%
20 13
 
0.8%
11 13
 
0.8%
Other values (40) 144
 
8.9%
2023-12-09T21:15:38.854403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1246
14.4%
l 1246
14.4%
N 623
7.2%
o 623
7.2%
b 623
7.2%
i 623
7.2%
e 623
7.2%
v 623
7.2%
A 623
7.2%
623
7.2%
Other values (11) 1204
13.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6230
71.8%
Uppercase Letter 1246
 
14.4%
Space Separator 623
 
7.2%
Decimal Number 581
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 155
26.7%
6 126
21.7%
5 62
 
10.7%
2 62
 
10.7%
3 52
 
9.0%
7 31
 
5.3%
0 28
 
4.8%
8 25
 
4.3%
4 25
 
4.3%
9 15
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 1246
20.0%
l 1246
20.0%
o 623
10.0%
b 623
10.0%
i 623
10.0%
e 623
10.0%
v 623
10.0%
t 623
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 623
50.0%
A 623
50.0%
Space Separator
ValueCountFrequency (%)
623
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7476
86.1%
Common 1204
 
13.9%

Most frequent character per script

Common
ValueCountFrequency (%)
623
51.7%
1 155
 
12.9%
6 126
 
10.5%
5 62
 
5.1%
2 62
 
5.1%
3 52
 
4.3%
7 31
 
2.6%
0 28
 
2.3%
8 25
 
2.1%
4 25
 
2.1%
Latin
ValueCountFrequency (%)
a 1246
16.7%
l 1246
16.7%
N 623
8.3%
o 623
8.3%
b 623
8.3%
i 623
8.3%
e 623
8.3%
v 623
8.3%
A 623
8.3%
t 623
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1246
14.4%
l 1246
14.4%
N 623
7.2%
o 623
7.2%
b 623
7.2%
i 623
7.2%
e 623
7.2%
v 623
7.2%
A 623
7.2%
623
7.2%
Other values (11) 1204
13.9%
Distinct197
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size64.3 KiB
2023-12-09T21:15:39.350437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.676
Min length1

Characters and Unicode

Total characters8676
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)10.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 591
37.1%
available 591
37.1%
60 8
 
0.5%
71 7
 
0.4%
72 7
 
0.4%
67 7
 
0.4%
49 6
 
0.4%
48 6
 
0.4%
66 6
 
0.4%
138 5
 
0.3%
Other values (188) 357
22.4%
2023-12-09T21:15:39.982421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1182
13.6%
l 1182
13.6%
N 591
 
6.8%
o 591
 
6.8%
b 591
 
6.8%
i 591
 
6.8%
e 591
 
6.8%
v 591
 
6.8%
A 591
 
6.8%
591
 
6.8%
Other values (11) 1584
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5910
68.1%
Uppercase Letter 1182
 
13.6%
Decimal Number 993
 
11.4%
Space Separator 591
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 163
16.4%
2 116
11.7%
4 112
11.3%
7 107
10.8%
5 103
10.4%
3 86
8.7%
8 85
8.6%
6 84
8.5%
0 78
7.9%
9 59
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1182
20.0%
l 1182
20.0%
o 591
10.0%
b 591
10.0%
i 591
10.0%
e 591
10.0%
v 591
10.0%
t 591
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 591
50.0%
A 591
50.0%
Space Separator
ValueCountFrequency (%)
591
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7092
81.7%
Common 1584
 
18.3%

Most frequent character per script

Common
ValueCountFrequency (%)
591
37.3%
1 163
 
10.3%
2 116
 
7.3%
4 112
 
7.1%
7 107
 
6.8%
5 103
 
6.5%
3 86
 
5.4%
8 85
 
5.4%
6 84
 
5.3%
0 78
 
4.9%
Latin
ValueCountFrequency (%)
a 1182
16.7%
l 1182
16.7%
N 591
8.3%
o 591
8.3%
b 591
8.3%
i 591
8.3%
e 591
8.3%
v 591
8.3%
A 591
8.3%
t 591
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1182
13.6%
l 1182
13.6%
N 591
 
6.8%
o 591
 
6.8%
b 591
 
6.8%
i 591
 
6.8%
e 591
 
6.8%
v 591
 
6.8%
A 591
 
6.8%
591
 
6.8%
Other values (11) 1584
18.3%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T21:15:40.220585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.979
Min length1

Characters and Unicode

Total characters8979
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 633
38.8%
available 633
38.8%
90 118
 
7.2%
100 108
 
6.6%
0 95
 
5.8%
80 17
 
1.0%
70 9
 
0.6%
20 5
 
0.3%
50 4
 
0.2%
10 4
 
0.2%
Other values (4) 7
 
0.4%
2023-12-09T21:15:40.538739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1266
14.1%
l 1266
14.1%
N 633
7.0%
o 633
7.0%
b 633
7.0%
i 633
7.0%
e 633
7.0%
v 633
7.0%
A 633
7.0%
633
7.0%
Other values (11) 1383
15.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6330
70.5%
Uppercase Letter 1266
 
14.1%
Decimal Number 749
 
8.3%
Space Separator 633
 
7.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 474
63.3%
9 119
 
15.9%
1 112
 
15.0%
8 18
 
2.4%
7 10
 
1.3%
2 6
 
0.8%
5 5
 
0.7%
3 3
 
0.4%
6 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 1266
20.0%
l 1266
20.0%
o 633
10.0%
b 633
10.0%
i 633
10.0%
e 633
10.0%
v 633
10.0%
t 633
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 633
50.0%
A 633
50.0%
Space Separator
ValueCountFrequency (%)
633
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7596
84.6%
Common 1383
 
15.4%

Most frequent character per script

Common
ValueCountFrequency (%)
633
45.8%
0 474
34.3%
9 119
 
8.6%
1 112
 
8.1%
8 18
 
1.3%
7 10
 
0.7%
2 6
 
0.4%
5 5
 
0.4%
3 3
 
0.2%
6 2
 
0.1%
Latin
ValueCountFrequency (%)
a 1266
16.7%
l 1266
16.7%
N 633
8.3%
o 633
8.3%
b 633
8.3%
i 633
8.3%
e 633
8.3%
v 633
8.3%
A 633
8.3%
t 633
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1266
14.1%
l 1266
14.1%
N 633
7.0%
o 633
7.0%
b 633
7.0%
i 633
7.0%
e 633
7.0%
v 633
7.0%
A 633
7.0%
633
7.0%
Other values (11) 1383
15.4%
Distinct44
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T21:15:40.773231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.004
Min length1

Characters and Unicode

Total characters9004
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 636
38.9%
available 636
38.9%
20 130
 
7.9%
10 109
 
6.7%
15 30
 
1.8%
5 12
 
0.7%
30 11
 
0.7%
18 8
 
0.5%
14 6
 
0.4%
8 6
 
0.4%
Other values (35) 52
 
3.2%
2023-12-09T21:15:41.132839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1272
14.1%
l 1272
14.1%
N 636
7.1%
t 636
7.1%
636
7.1%
A 636
7.1%
v 636
7.1%
i 636
7.1%
b 636
7.1%
e 636
7.1%
Other values (12) 1372
15.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6360
70.6%
Uppercase Letter 1272
 
14.1%
Decimal Number 722
 
8.0%
Space Separator 636
 
7.1%
Other Punctuation 14
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 260
36.0%
1 176
24.4%
2 156
21.6%
5 55
 
7.6%
3 26
 
3.6%
8 18
 
2.5%
9 14
 
1.9%
4 10
 
1.4%
6 5
 
0.7%
7 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 1272
20.0%
l 1272
20.0%
t 636
10.0%
v 636
10.0%
i 636
10.0%
b 636
10.0%
e 636
10.0%
o 636
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 636
50.0%
A 636
50.0%
Space Separator
ValueCountFrequency (%)
636
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7632
84.8%
Common 1372
 
15.2%

Most frequent character per script

Common
ValueCountFrequency (%)
636
46.4%
0 260
19.0%
1 176
 
12.8%
2 156
 
11.4%
5 55
 
4.0%
3 26
 
1.9%
8 18
 
1.3%
9 14
 
1.0%
. 14
 
1.0%
4 10
 
0.7%
Other values (2) 7
 
0.5%
Latin
ValueCountFrequency (%)
a 1272
16.7%
l 1272
16.7%
N 636
8.3%
t 636
8.3%
A 636
8.3%
v 636
8.3%
i 636
8.3%
b 636
8.3%
e 636
8.3%
o 636
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1272
14.1%
l 1272
14.1%
N 636
7.1%
t 636
7.1%
636
7.1%
A 636
7.1%
v 636
7.1%
i 636
7.1%
b 636
7.1%
e 636
7.1%
Other values (12) 1372
15.2%
Distinct228
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size64.6 KiB
2023-12-09T21:15:41.636889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.044
Min length2

Characters and Unicode

Total characters9044
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)12.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 614
38.0%
available 614
38.0%
214 6
 
0.4%
219 5
 
0.3%
130 5
 
0.3%
174 5
 
0.3%
98 4
 
0.2%
112 4
 
0.2%
88 4
 
0.2%
218 4
 
0.2%
Other values (219) 349
21.6%
2023-12-09T21:15:42.278169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1228
13.6%
l 1228
13.6%
N 614
 
6.8%
o 614
 
6.8%
b 614
 
6.8%
i 614
 
6.8%
e 614
 
6.8%
v 614
 
6.8%
A 614
 
6.8%
614
 
6.8%
Other values (11) 1676
18.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6140
67.9%
Uppercase Letter 1228
 
13.6%
Decimal Number 1062
 
11.7%
Space Separator 614
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 224
21.1%
2 155
14.6%
4 100
9.4%
8 96
9.0%
0 94
8.9%
7 89
 
8.4%
3 83
 
7.8%
5 75
 
7.1%
9 73
 
6.9%
6 73
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
a 1228
20.0%
l 1228
20.0%
o 614
10.0%
b 614
10.0%
i 614
10.0%
e 614
10.0%
v 614
10.0%
t 614
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 614
50.0%
A 614
50.0%
Space Separator
ValueCountFrequency (%)
614
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7368
81.5%
Common 1676
 
18.5%

Most frequent character per script

Common
ValueCountFrequency (%)
614
36.6%
1 224
 
13.4%
2 155
 
9.2%
4 100
 
6.0%
8 96
 
5.7%
0 94
 
5.6%
7 89
 
5.3%
3 83
 
5.0%
5 75
 
4.5%
9 73
 
4.4%
Latin
ValueCountFrequency (%)
a 1228
16.7%
l 1228
16.7%
N 614
8.3%
o 614
8.3%
b 614
8.3%
i 614
8.3%
e 614
8.3%
v 614
8.3%
A 614
8.3%
t 614
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9044
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1228
13.6%
l 1228
13.6%
N 614
 
6.8%
o 614
 
6.8%
b 614
 
6.8%
i 614
 
6.8%
e 614
 
6.8%
v 614
 
6.8%
A 614
 
6.8%
614
 
6.8%
Other values (11) 1676
18.5%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size69.2 KiB
2023-12-09T21:15:42.486531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length13
Mean length13.708
Min length11

Characters and Unicode

Total characters13708
Distinct characters38
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 781
33.0%
available 781
33.0%
no 160
 
6.8%
fuel 112
 
4.7%
oil 112
 
4.7%
natural 79
 
3.3%
gas 79
 
3.3%
6 48
 
2.0%
and 48
 
2.0%
5 48
 
2.0%
Other values (7) 122
 
5.1%
2023-12-09T21:15:42.825780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1875
13.7%
l 1865
13.6%
1370
10.0%
N 1021
7.4%
i 949
6.9%
t 945
6.9%
o 942
6.9%
e 921
6.7%
v 781
 
5.7%
b 781
 
5.7%
Other values (28) 2258
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9616
70.1%
Uppercase Letter 2170
 
15.8%
Space Separator 1370
 
10.0%
Other Punctuation 162
 
1.2%
Decimal Number 162
 
1.2%
Open Punctuation 112
 
0.8%
Close Punctuation 112
 
0.8%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1875
19.5%
l 1865
19.4%
i 949
9.9%
t 945
9.8%
o 942
9.8%
e 921
9.6%
v 781
8.1%
b 781
8.1%
u 191
 
2.0%
r 108
 
1.1%
Other values (5) 258
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
N 1021
47.1%
A 781
36.0%
O 114
 
5.3%
F 113
 
5.2%
G 79
 
3.6%
D 28
 
1.3%
S 27
 
1.2%
L 2
 
0.1%
U 1
 
< 0.1%
E 1
 
< 0.1%
Other values (3) 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
6 49
30.2%
5 49
30.2%
2 35
21.6%
4 29
17.9%
Other Punctuation
ValueCountFrequency (%)
. 160
98.8%
, 2
 
1.2%
Space Separator
ValueCountFrequency (%)
1370
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11786
86.0%
Common 1922
 
14.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1875
15.9%
l 1865
15.8%
N 1021
8.7%
i 949
8.1%
t 945
8.0%
o 942
8.0%
e 921
7.8%
v 781
6.6%
b 781
6.6%
A 781
6.6%
Other values (18) 925
7.8%
Common
ValueCountFrequency (%)
1370
71.3%
. 160
 
8.3%
( 112
 
5.8%
) 112
 
5.8%
6 49
 
2.5%
5 49
 
2.5%
2 35
 
1.8%
4 29
 
1.5%
_ 4
 
0.2%
, 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1875
13.7%
l 1865
13.6%
1370
10.0%
N 1021
7.4%
i 949
6.9%
t 945
6.9%
o 942
6.9%
e 921
6.7%
v 781
 
5.7%
b 781
 
5.7%
Other values (28) 2258
16.5%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size72.4 KiB
2023-12-09T21:15:43.021203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length13
Mean length16.959
Min length13

Characters and Unicode

Total characters16959
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 781
32.1%
available 781
32.1%
no 214
 
8.8%
specific 214
 
8.8%
resident 214
 
8.8%
population 214
 
8.8%
dedicated 4
 
0.2%
senior/independent 4
 
0.2%
living 4
 
0.2%
no_specific_resident_population 1
 
< 0.1%
2023-12-09T21:15:43.333040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1780
10.5%
l 1776
10.5%
i 1653
9.7%
e 1447
 
8.5%
1431
 
8.4%
o 1427
 
8.4%
t 1217
 
7.2%
N 998
 
5.9%
v 785
 
4.6%
A 782
 
4.6%
Other values (25) 3663
21.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13700
80.8%
Uppercase Letter 1820
 
10.7%
Space Separator 1431
 
8.4%
Other Punctuation 5
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1780
13.0%
l 1776
13.0%
i 1653
12.1%
e 1447
10.6%
o 1427
10.4%
t 1217
8.9%
v 785
5.7%
b 781
5.7%
p 646
 
4.7%
n 448
 
3.3%
Other values (7) 1740
12.7%
Uppercase Letter
ValueCountFrequency (%)
N 998
54.8%
A 782
43.0%
I 8
 
0.4%
S 6
 
0.3%
L 5
 
0.3%
D 5
 
0.3%
O 3
 
0.2%
P 3
 
0.2%
E 3
 
0.2%
C 2
 
0.1%
Other values (4) 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
/ 4
80.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1431
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15520
91.5%
Common 1439
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1780
11.5%
l 1776
11.4%
i 1653
10.7%
e 1447
9.3%
o 1427
9.2%
t 1217
7.8%
N 998
 
6.4%
v 785
 
5.1%
A 782
 
5.0%
b 781
 
5.0%
Other values (21) 2874
18.5%
Common
ValueCountFrequency (%)
1431
99.4%
/ 4
 
0.3%
_ 3
 
0.2%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1780
10.5%
l 1776
10.5%
i 1653
9.7%
e 1447
 
8.5%
1431
 
8.4%
o 1427
 
8.4%
t 1217
 
7.2%
N 998
 
5.9%
v 785
 
4.6%
A 782
 
4.6%
Other values (25) 3663
21.6%
Distinct365
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T21:15:43.738644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.236
Min length1

Characters and Unicode

Total characters10236
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique345 ?
Unique (%)34.5%

Sample

1st row652062
2nd row361245
3rd row221073
4th row360420
5th row1511251
ValueCountFrequency (%)
not 617
38.2%
available 617
38.2%
8383 2
 
0.1%
587059 2
 
0.1%
179967 2
 
0.1%
10000 2
 
0.1%
1350101 2
 
0.1%
523656 2
 
0.1%
234073 2
 
0.1%
902557 2
 
0.1%
Other values (356) 367
22.7%
2023-12-09T21:15:44.281518image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1234
12.1%
l 1234
12.1%
N 617
 
6.0%
o 617
 
6.0%
b 617
 
6.0%
i 617
 
6.0%
e 617
 
6.0%
v 617
 
6.0%
A 617
 
6.0%
617
 
6.0%
Other values (11) 2832
27.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6170
60.3%
Decimal Number 2215
 
21.6%
Uppercase Letter 1234
 
12.1%
Space Separator 617
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 289
13.0%
1 273
12.3%
5 238
10.7%
2 229
10.3%
3 228
10.3%
7 220
9.9%
6 209
9.4%
4 193
8.7%
8 169
7.6%
9 167
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 1234
20.0%
l 1234
20.0%
o 617
10.0%
b 617
10.0%
i 617
10.0%
e 617
10.0%
v 617
10.0%
t 617
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 617
50.0%
A 617
50.0%
Space Separator
ValueCountFrequency (%)
617
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7404
72.3%
Common 2832
 
27.7%

Most frequent character per script

Common
ValueCountFrequency (%)
617
21.8%
0 289
10.2%
1 273
9.6%
5 238
 
8.4%
2 229
 
8.1%
3 228
 
8.1%
7 220
 
7.8%
6 209
 
7.4%
4 193
 
6.8%
8 169
 
6.0%
Latin
ValueCountFrequency (%)
a 1234
16.7%
l 1234
16.7%
N 617
8.3%
o 617
8.3%
b 617
8.3%
i 617
8.3%
e 617
8.3%
v 617
8.3%
A 617
8.3%
t 617
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1234
12.1%
l 1234
12.1%
N 617
 
6.0%
o 617
 
6.0%
b 617
 
6.0%
i 617
 
6.0%
e 617
 
6.0%
v 617
 
6.0%
A 617
 
6.0%
617
 
6.0%
Other values (11) 2832
27.7%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T21:15:44.510908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.204
Min length1

Characters and Unicode

Total characters9204
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
not 617
38.2%
available 617
38.2%
100 350
21.6%
25 7
 
0.4%
99.84 2
 
0.1%
90 1
 
0.1%
89.44 1
 
0.1%
99.64 1
 
0.1%
97.78 1
 
0.1%
89.48 1
 
0.1%
Other values (19) 19
 
1.2%
2023-12-09T21:15:44.847732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1234
13.4%
l 1234
13.4%
0 704
7.6%
N 617
 
6.7%
t 617
 
6.7%
617
 
6.7%
A 617
 
6.7%
v 617
 
6.7%
i 617
 
6.7%
b 617
 
6.7%
Other values (12) 1713
18.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6170
67.0%
Uppercase Letter 1234
 
13.4%
Decimal Number 1159
 
12.6%
Space Separator 617
 
6.7%
Other Punctuation 24
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 704
60.7%
1 355
30.6%
9 29
 
2.5%
8 13
 
1.1%
7 13
 
1.1%
4 12
 
1.0%
2 11
 
0.9%
5 10
 
0.9%
6 7
 
0.6%
3 5
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1234
20.0%
l 1234
20.0%
t 617
10.0%
v 617
10.0%
i 617
10.0%
b 617
10.0%
e 617
10.0%
o 617
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 617
50.0%
A 617
50.0%
Space Separator
ValueCountFrequency (%)
617
100.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7404
80.4%
Common 1800
 
19.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 704
39.1%
617
34.3%
1 355
19.7%
9 29
 
1.6%
. 24
 
1.3%
8 13
 
0.7%
7 13
 
0.7%
4 12
 
0.7%
2 11
 
0.6%
5 10
 
0.6%
Other values (2) 12
 
0.7%
Latin
ValueCountFrequency (%)
a 1234
16.7%
l 1234
16.7%
N 617
8.3%
t 617
8.3%
A 617
8.3%
v 617
8.3%
i 617
8.3%
b 617
8.3%
e 617
8.3%
o 617
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1234
13.4%
l 1234
13.4%
0 704
7.6%
N 617
 
6.7%
t 617
 
6.7%
617
 
6.7%
A 617
 
6.7%
v 617
 
6.7%
i 617
 
6.7%
b 617
 
6.7%
Other values (12) 1713
18.6%
Distinct252
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T21:15:45.341498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.487
Min length1

Characters and Unicode

Total characters9487
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)17.6%

Sample

1st row2.61
2nd row4.29
3rd row1.36
4th row3.05
5th row4.23
ValueCountFrequency (%)
not 617
38.2%
available 617
38.2%
2.2 18
 
1.1%
0 7
 
0.4%
4.56 5
 
0.3%
3.28 4
 
0.2%
2.23 4
 
0.2%
2.56 4
 
0.2%
3.58 4
 
0.2%
3.35 4
 
0.2%
Other values (243) 333
20.6%
2023-12-09T21:15:45.966979image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1234
13.0%
l 1234
13.0%
N 617
 
6.5%
t 617
 
6.5%
617
 
6.5%
A 617
 
6.5%
v 617
 
6.5%
i 617
 
6.5%
b 617
 
6.5%
e 617
 
6.5%
Other values (12) 2083
22.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6170
65.0%
Uppercase Letter 1234
 
13.0%
Decimal Number 1092
 
11.5%
Space Separator 617
 
6.5%
Other Punctuation 374
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 197
18.0%
3 176
16.1%
1 128
11.7%
4 126
11.5%
5 97
8.9%
6 97
8.9%
8 76
 
7.0%
9 75
 
6.9%
7 68
 
6.2%
0 52
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1234
20.0%
l 1234
20.0%
t 617
10.0%
v 617
10.0%
i 617
10.0%
b 617
10.0%
e 617
10.0%
o 617
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 617
50.0%
A 617
50.0%
Space Separator
ValueCountFrequency (%)
617
100.0%
Other Punctuation
ValueCountFrequency (%)
. 374
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7404
78.0%
Common 2083
 
22.0%

Most frequent character per script

Common
ValueCountFrequency (%)
617
29.6%
. 374
18.0%
2 197
 
9.5%
3 176
 
8.4%
1 128
 
6.1%
4 126
 
6.0%
5 97
 
4.7%
6 97
 
4.7%
8 76
 
3.6%
9 75
 
3.6%
Other values (2) 120
 
5.8%
Latin
ValueCountFrequency (%)
a 1234
16.7%
l 1234
16.7%
N 617
8.3%
t 617
8.3%
A 617
8.3%
v 617
8.3%
i 617
8.3%
b 617
8.3%
e 617
8.3%
o 617
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9487
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1234
13.0%
l 1234
13.0%
N 617
 
6.5%
t 617
 
6.5%
617
 
6.5%
A 617
 
6.5%
v 617
 
6.5%
i 617
 
6.5%
b 617
 
6.5%
e 617
 
6.5%
Other values (12) 2083
22.0%
Distinct66
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T21:15:46.246342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length8.801
Min length1

Characters and Unicode

Total characters8801
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st row90
2nd row65
3rd row65
4th row70
5th row98
ValueCountFrequency (%)
not 617
38.2%
available 617
38.2%
65 71
 
4.4%
55 48
 
3.0%
60 33
 
2.0%
50 27
 
1.7%
70 14
 
0.9%
40 13
 
0.8%
68 9
 
0.6%
168 8
 
0.5%
Other values (57) 160
 
9.9%
2023-12-09T21:15:46.644265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1234
14.0%
l 1234
14.0%
N 617
7.0%
o 617
7.0%
b 617
7.0%
i 617
7.0%
e 617
7.0%
v 617
7.0%
A 617
7.0%
617
7.0%
Other values (11) 1397
15.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6170
70.1%
Uppercase Letter 1234
 
14.0%
Decimal Number 780
 
8.9%
Space Separator 617
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 246
31.5%
6 164
21.0%
0 102
13.1%
4 79
 
10.1%
8 54
 
6.9%
7 47
 
6.0%
1 31
 
4.0%
9 22
 
2.8%
3 20
 
2.6%
2 15
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1234
20.0%
l 1234
20.0%
o 617
10.0%
b 617
10.0%
i 617
10.0%
e 617
10.0%
v 617
10.0%
t 617
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 617
50.0%
A 617
50.0%
Space Separator
ValueCountFrequency (%)
617
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7404
84.1%
Common 1397
 
15.9%

Most frequent character per script

Common
ValueCountFrequency (%)
617
44.2%
5 246
 
17.6%
6 164
 
11.7%
0 102
 
7.3%
4 79
 
5.7%
8 54
 
3.9%
7 47
 
3.4%
1 31
 
2.2%
9 22
 
1.6%
3 20
 
1.4%
Latin
ValueCountFrequency (%)
a 1234
16.7%
l 1234
16.7%
N 617
8.3%
o 617
8.3%
b 617
8.3%
i 617
8.3%
e 617
8.3%
v 617
8.3%
A 617
8.3%
t 617
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1234
14.0%
l 1234
14.0%
N 617
7.0%
o 617
7.0%
b 617
7.0%
i 617
7.0%
e 617
7.0%
v 617
7.0%
A 617
7.0%
617
7.0%
Other values (11) 1397
15.9%
Distinct237
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T21:15:47.138915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.473
Min length1

Characters and Unicode

Total characters9473
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)14.9%

Sample

1st row2.45
2nd row3.88
3rd row1.36
4th row2.77
5th row4.3
ValueCountFrequency (%)
not 617
38.2%
available 617
38.2%
2.3 17
 
1.1%
2.79 7
 
0.4%
2.7 5
 
0.3%
2.43 5
 
0.3%
0 5
 
0.3%
2.23 4
 
0.2%
2.55 4
 
0.2%
2.77 4
 
0.2%
Other values (228) 332
20.5%
2023-12-09T21:15:47.770895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1234
13.0%
l 1234
13.0%
N 617
 
6.5%
t 617
 
6.5%
617
 
6.5%
A 617
 
6.5%
v 617
 
6.5%
i 617
 
6.5%
b 617
 
6.5%
e 617
 
6.5%
Other values (12) 2069
21.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6170
65.1%
Uppercase Letter 1234
 
13.0%
Decimal Number 1083
 
11.4%
Space Separator 617
 
6.5%
Other Punctuation 369
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 231
21.3%
3 177
16.3%
1 131
12.1%
4 92
 
8.5%
5 89
 
8.2%
7 87
 
8.0%
8 82
 
7.6%
6 74
 
6.8%
9 67
 
6.2%
0 53
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 1234
20.0%
l 1234
20.0%
t 617
10.0%
v 617
10.0%
i 617
10.0%
b 617
10.0%
e 617
10.0%
o 617
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 617
50.0%
A 617
50.0%
Space Separator
ValueCountFrequency (%)
617
100.0%
Other Punctuation
ValueCountFrequency (%)
. 369
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7404
78.2%
Common 2069
 
21.8%

Most frequent character per script

Common
ValueCountFrequency (%)
617
29.8%
. 369
17.8%
2 231
 
11.2%
3 177
 
8.6%
1 131
 
6.3%
4 92
 
4.4%
5 89
 
4.3%
7 87
 
4.2%
8 82
 
4.0%
6 74
 
3.6%
Other values (2) 120
 
5.8%
Latin
ValueCountFrequency (%)
a 1234
16.7%
l 1234
16.7%
N 617
8.3%
t 617
8.3%
A 617
8.3%
v 617
8.3%
i 617
8.3%
b 617
8.3%
e 617
8.3%
o 617
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1234
13.0%
l 1234
13.0%
N 617
 
6.5%
t 617
 
6.5%
617
 
6.5%
A 617
 
6.5%
v 617
 
6.5%
i 617
 
6.5%
b 617
 
6.5%
e 617
 
6.5%
Other values (12) 2069
21.8%
Distinct97
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:15:48.126573image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.963
Min length1

Characters and Unicode

Total characters11963
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)7.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 877
46.7%
available 877
46.7%
0 9
 
0.5%
2000 5
 
0.3%
31528 2
 
0.1%
26387 2
 
0.1%
3200 2
 
0.1%
1350 2
 
0.1%
21162 2
 
0.1%
17600 2
 
0.1%
Other values (88) 97
 
5.2%
2023-12-09T21:15:48.600918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1754
14.7%
l 1754
14.7%
N 877
7.3%
o 877
7.3%
b 877
7.3%
i 877
7.3%
e 877
7.3%
v 877
7.3%
A 877
7.3%
877
7.3%
Other values (11) 1439
12.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8770
73.3%
Uppercase Letter 1754
 
14.7%
Space Separator 877
 
7.3%
Decimal Number 562
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 158
28.1%
1 64
11.4%
2 62
 
11.0%
7 48
 
8.5%
3 44
 
7.8%
8 40
 
7.1%
5 40
 
7.1%
6 40
 
7.1%
4 39
 
6.9%
9 27
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1754
20.0%
l 1754
20.0%
o 877
10.0%
b 877
10.0%
i 877
10.0%
e 877
10.0%
v 877
10.0%
t 877
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 877
50.0%
A 877
50.0%
Space Separator
ValueCountFrequency (%)
877
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10524
88.0%
Common 1439
 
12.0%

Most frequent character per script

Common
ValueCountFrequency (%)
877
60.9%
0 158
 
11.0%
1 64
 
4.4%
2 62
 
4.3%
7 48
 
3.3%
3 44
 
3.1%
8 40
 
2.8%
5 40
 
2.8%
6 40
 
2.8%
4 39
 
2.7%
Latin
ValueCountFrequency (%)
a 1754
16.7%
l 1754
16.7%
N 877
8.3%
o 877
8.3%
b 877
8.3%
i 877
8.3%
e 877
8.3%
v 877
8.3%
A 877
8.3%
t 877
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1754
14.7%
l 1754
14.7%
N 877
7.3%
o 877
7.3%
b 877
7.3%
i 877
7.3%
e 877
7.3%
v 877
7.3%
A 877
7.3%
877
7.3%
Other values (11) 1439
12.0%
Distinct105
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:15:48.969550image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12
Min length1

Characters and Unicode

Total characters12000
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)8.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 877
46.7%
available 877
46.7%
2000 5
 
0.3%
26700 2
 
0.1%
9788 2
 
0.1%
24985 2
 
0.1%
26387 2
 
0.1%
17600 2
 
0.1%
3200 2
 
0.1%
31528 2
 
0.1%
Other values (96) 104
 
5.5%
2023-12-09T21:15:49.460776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1754
14.6%
l 1754
14.6%
N 877
7.3%
o 877
7.3%
b 877
7.3%
i 877
7.3%
e 877
7.3%
v 877
7.3%
A 877
7.3%
877
7.3%
Other values (11) 1476
12.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8770
73.1%
Uppercase Letter 1754
 
14.6%
Space Separator 877
 
7.3%
Decimal Number 599
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 157
26.2%
1 74
12.4%
2 67
11.2%
7 50
 
8.3%
8 48
 
8.0%
3 47
 
7.8%
5 42
 
7.0%
6 42
 
7.0%
4 42
 
7.0%
9 30
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 1754
20.0%
l 1754
20.0%
o 877
10.0%
b 877
10.0%
i 877
10.0%
e 877
10.0%
v 877
10.0%
t 877
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 877
50.0%
A 877
50.0%
Space Separator
ValueCountFrequency (%)
877
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10524
87.7%
Common 1476
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
877
59.4%
0 157
 
10.6%
1 74
 
5.0%
2 67
 
4.5%
7 50
 
3.4%
8 48
 
3.3%
3 47
 
3.2%
5 42
 
2.8%
6 42
 
2.8%
4 42
 
2.8%
Latin
ValueCountFrequency (%)
a 1754
16.7%
l 1754
16.7%
N 877
8.3%
o 877
8.3%
b 877
8.3%
i 877
8.3%
e 877
8.3%
v 877
8.3%
A 877
8.3%
t 877
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1754
14.6%
l 1754
14.6%
N 877
7.3%
o 877
7.3%
b 877
7.3%
i 877
7.3%
e 877
7.3%
v 877
7.3%
A 877
7.3%
877
7.3%
Other values (11) 1476
12.3%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T21:15:49.655025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.541
Min length1

Characters and Unicode

Total characters11541
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 877
46.7%
available 877
46.7%
0 118
 
6.3%
1898 1
 
0.1%
6000 1
 
0.1%
19081 1
 
0.1%
6083 1
 
0.1%
50836 1
 
0.1%
2023-12-09T21:15:49.947147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1754
15.2%
l 1754
15.2%
N 877
7.6%
e 877
7.6%
o 877
7.6%
i 877
7.6%
b 877
7.6%
v 877
7.6%
A 877
7.6%
877
7.6%
Other values (8) 1017
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8770
76.0%
Uppercase Letter 1754
 
15.2%
Space Separator 877
 
7.6%
Decimal Number 140
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1754
20.0%
l 1754
20.0%
e 877
10.0%
o 877
10.0%
i 877
10.0%
b 877
10.0%
v 877
10.0%
t 877
10.0%
Decimal Number
ValueCountFrequency (%)
0 124
88.6%
8 5
 
3.6%
1 3
 
2.1%
6 3
 
2.1%
9 2
 
1.4%
3 2
 
1.4%
5 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
N 877
50.0%
A 877
50.0%
Space Separator
ValueCountFrequency (%)
877
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10524
91.2%
Common 1017
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1754
16.7%
l 1754
16.7%
N 877
8.3%
e 877
8.3%
o 877
8.3%
i 877
8.3%
b 877
8.3%
v 877
8.3%
A 877
8.3%
t 877
8.3%
Common
ValueCountFrequency (%)
877
86.2%
0 124
 
12.2%
8 5
 
0.5%
1 3
 
0.3%
6 3
 
0.3%
9 2
 
0.2%
3 2
 
0.2%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1754
15.2%
l 1754
15.2%
N 877
7.6%
e 877
7.6%
o 877
7.6%
i 877
7.6%
b 877
7.6%
v 877
7.6%
A 877
7.6%
877
7.6%
Other values (8) 1017
8.8%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T21:15:50.136834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.574
Min length1

Characters and Unicode

Total characters11574
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 877
46.7%
available 877
46.7%
0 111
 
5.9%
100000 2
 
0.1%
6781 1
 
0.1%
9805 1
 
0.1%
5000 1
 
0.1%
49917 1
 
0.1%
188517 1
 
0.1%
198170 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T21:15:50.440774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1754
15.2%
l 1754
15.2%
N 877
7.6%
o 877
7.6%
b 877
7.6%
i 877
7.6%
e 877
7.6%
v 877
7.6%
A 877
7.6%
877
7.6%
Other values (11) 1050
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8770
75.8%
Uppercase Letter 1754
 
15.2%
Space Separator 877
 
7.6%
Decimal Number 173
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
75.1%
1 10
 
5.8%
9 6
 
3.5%
6 5
 
2.9%
7 5
 
2.9%
8 5
 
2.9%
5 4
 
2.3%
4 3
 
1.7%
2 3
 
1.7%
3 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 1754
20.0%
l 1754
20.0%
o 877
10.0%
b 877
10.0%
i 877
10.0%
e 877
10.0%
v 877
10.0%
t 877
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 877
50.0%
A 877
50.0%
Space Separator
ValueCountFrequency (%)
877
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10524
90.9%
Common 1050
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
877
83.5%
0 130
 
12.4%
1 10
 
1.0%
9 6
 
0.6%
6 5
 
0.5%
7 5
 
0.5%
8 5
 
0.5%
5 4
 
0.4%
4 3
 
0.3%
2 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1754
16.7%
l 1754
16.7%
N 877
8.3%
o 877
8.3%
b 877
8.3%
i 877
8.3%
e 877
8.3%
v 877
8.3%
A 877
8.3%
t 877
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1754
15.2%
l 1754
15.2%
N 877
7.6%
o 877
7.6%
b 877
7.6%
i 877
7.6%
e 877
7.6%
v 877
7.6%
A 877
7.6%
877
7.6%
Other values (11) 1050
9.1%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:50.625160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.942
Min length5

Characters and Unicode

Total characters12942
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
591640 1
 
0.1%
75000 1
 
0.1%
111285 1
 
0.1%
115200 1
 
0.1%
402707 1
 
0.1%
159470 1
 
0.1%
200000 1
 
0.1%
68096 1
 
0.1%
2023-12-09T21:15:50.937584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (10) 1038
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.6%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 46
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
32.6%
1 7
15.2%
5 5
 
10.9%
7 4
 
8.7%
2 4
 
8.7%
9 3
 
6.5%
6 3
 
6.5%
4 3
 
6.5%
8 2
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.0%
Common 1038
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%
Common
ValueCountFrequency (%)
992
95.6%
0 15
 
1.4%
1 7
 
0.7%
5 5
 
0.5%
7 4
 
0.4%
2 4
 
0.4%
9 3
 
0.3%
6 3
 
0.3%
4 3
 
0.3%
8 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (10) 1038
8.0%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:51.112433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.918
Min length2

Characters and Unicode

Total characters12918
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
100 6
 
0.3%
70 1
 
0.1%
30 1
 
0.1%
2023-12-09T21:15:51.401131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (5) 1014
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.8%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 22
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Decimal Number
ValueCountFrequency (%)
0 14
63.6%
1 6
27.3%
7 1
 
4.5%
3 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.2%
Common 1014
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
97.8%
0 14
 
1.4%
1 6
 
0.6%
7 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (5) 1014
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:51.570453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length1

Characters and Unicode

Total characters12904
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 8
 
0.4%
2023-12-09T21:15:51.854763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Decimal Number
ValueCountFrequency (%)
0 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
99.2%
0 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:52.026692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.907
Min length1

Characters and Unicode

Total characters12907
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 5
 
0.3%
1 1
 
0.1%
5 1
 
0.1%
65 1
 
0.1%
2023-12-09T21:15:52.314556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (6) 1003
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 9
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
55.6%
5 2
 
22.2%
1 1
 
11.1%
6 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.2%
Common 1003
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
98.9%
0 5
 
0.5%
. 2
 
0.2%
5 2
 
0.2%
1 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12907
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (6) 1003
7.8%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:15:52.501338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.919
Min length2

Characters and Unicode

Total characters12919
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
493 1
 
0.1%
1650 1
 
0.1%
125 1
 
0.1%
95 1
 
0.1%
128 1
 
0.1%
81 1
 
0.1%
450 1
 
0.1%
220 1
 
0.1%
2023-12-09T21:15:52.800297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (10) 1015
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.8%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
17.4%
5 4
17.4%
2 4
17.4%
0 3
13.0%
4 2
8.7%
9 2
8.7%
8 2
8.7%
3 1
 
4.3%
6 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.1%
Common 1015
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%
Common
ValueCountFrequency (%)
992
97.7%
1 4
 
0.4%
5 4
 
0.4%
2 4
 
0.4%
0 3
 
0.3%
4 2
 
0.2%
9 2
 
0.2%
8 2
 
0.2%
3 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (10) 1015
7.9%
Distinct216
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size66.6 KiB
2023-12-09T21:15:53.269674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.072
Min length3

Characters and Unicode

Total characters11072
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)20.0%

Sample

1st row10077
2nd row19753
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
5000 5
 
0.3%
9000 3
 
0.2%
1195 2
 
0.1%
14000 2
 
0.1%
15716 2
 
0.1%
13580 2
 
0.1%
1050 2
 
0.1%
4600 2
 
0.1%
Other values (207) 214
 
12.1%
2023-12-09T21:15:53.870304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
13.8%
l 1532
13.8%
N 766
6.9%
o 766
6.9%
b 766
6.9%
i 766
6.9%
e 766
6.9%
v 766
6.9%
A 766
6.9%
766
6.9%
Other values (11) 1880
17.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
69.2%
Uppercase Letter 1532
 
13.8%
Decimal Number 1114
 
10.1%
Space Separator 766
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 184
16.5%
0 183
16.4%
3 105
9.4%
5 101
9.1%
4 100
9.0%
2 93
8.3%
9 88
7.9%
8 87
7.8%
7 87
7.8%
6 86
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
o 766
10.0%
b 766
10.0%
i 766
10.0%
e 766
10.0%
v 766
10.0%
t 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
83.0%
Common 1880
 
17.0%

Most frequent character per script

Common
ValueCountFrequency (%)
766
40.7%
1 184
 
9.8%
0 183
 
9.7%
3 105
 
5.6%
5 101
 
5.4%
4 100
 
5.3%
2 93
 
4.9%
9 88
 
4.7%
8 87
 
4.6%
7 87
 
4.6%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
o 766
8.3%
b 766
8.3%
i 766
8.3%
e 766
8.3%
v 766
8.3%
A 766
8.3%
t 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
13.8%
l 1532
13.8%
N 766
6.9%
o 766
6.9%
b 766
6.9%
i 766
6.9%
e 766
6.9%
v 766
6.9%
A 766
6.9%
766
6.9%
Other values (11) 1880
17.0%
Distinct90
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T21:15:54.197328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.814
Min length1

Characters and Unicode

Total characters10814
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.6%

Sample

1st row0.5
2nd row0.76
3rd rowNot Available
4th rowNot Available
5th row0.24
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
0.3 33
 
1.9%
0.27 7
 
0.4%
0 7
 
0.4%
0.39 5
 
0.3%
0.31 5
 
0.3%
0.32 5
 
0.3%
0.15 5
 
0.3%
0.16 5
 
0.3%
Other values (81) 162
 
9.2%
2023-12-09T21:15:54.640991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
14.2%
l 1532
14.2%
N 766
7.1%
o 766
7.1%
t 766
7.1%
766
7.1%
A 766
7.1%
v 766
7.1%
i 766
7.1%
b 766
7.1%
Other values (12) 1622
15.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
70.8%
Uppercase Letter 1532
 
14.2%
Space Separator 766
 
7.1%
Decimal Number 632
 
5.8%
Other Punctuation 224
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
35.8%
3 84
 
13.3%
1 79
 
12.5%
2 59
 
9.3%
4 35
 
5.5%
7 34
 
5.4%
5 33
 
5.2%
6 32
 
5.1%
9 25
 
4.0%
8 25
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
o 766
10.0%
t 766
10.0%
v 766
10.0%
i 766
10.0%
b 766
10.0%
e 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
85.0%
Common 1622
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
766
47.2%
0 226
 
13.9%
. 224
 
13.8%
3 84
 
5.2%
1 79
 
4.9%
2 59
 
3.6%
4 35
 
2.2%
7 34
 
2.1%
5 33
 
2.0%
6 32
 
2.0%
Other values (2) 50
 
3.1%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
o 766
8.3%
t 766
8.3%
A 766
8.3%
v 766
8.3%
i 766
8.3%
b 766
8.3%
e 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
14.2%
l 1532
14.2%
N 766
7.1%
o 766
7.1%
t 766
7.1%
766
7.1%
A 766
7.1%
v 766
7.1%
i 766
7.1%
b 766
7.1%
Other values (12) 1622
15.0%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size65.7 KiB
2023-12-09T21:15:54.820560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.194
Min length1

Characters and Unicode

Total characters10194
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row1
3rd rowNot Available
4th rowNot Available
5th row1
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
1 228
 
12.9%
0 5
 
0.3%
1.0 1
 
0.1%
2023-12-09T21:15:55.101197image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
15.0%
l 1532
15.0%
N 766
7.5%
o 766
7.5%
t 766
7.5%
766
7.5%
A 766
7.5%
v 766
7.5%
i 766
7.5%
b 766
7.5%
Other values (4) 1002
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
75.1%
Uppercase Letter 1532
 
15.0%
Space Separator 766
 
7.5%
Decimal Number 235
 
2.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
o 766
10.0%
t 766
10.0%
v 766
10.0%
i 766
10.0%
b 766
10.0%
e 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Decimal Number
ValueCountFrequency (%)
1 229
97.4%
0 6
 
2.6%
Space Separator
ValueCountFrequency (%)
766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
90.2%
Common 1002
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
o 766
8.3%
t 766
8.3%
A 766
8.3%
v 766
8.3%
i 766
8.3%
b 766
8.3%
e 766
8.3%
Common
ValueCountFrequency (%)
766
76.4%
1 229
 
22.9%
0 6
 
0.6%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
15.0%
l 1532
15.0%
N 766
7.5%
o 766
7.5%
t 766
7.5%
766
7.5%
A 766
7.5%
v 766
7.5%
i 766
7.5%
b 766
7.5%
Other values (4) 1002
9.8%
Distinct138
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T21:15:55.481080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.762
Min length1

Characters and Unicode

Total characters10762
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)9.5%

Sample

1st row2.48
2nd row2.03
3rd rowNot Available
4th rowNot Available
5th row1.59
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
1 35
 
2.0%
0.89 6
 
0.3%
1.04 4
 
0.2%
1.03 4
 
0.2%
1.05 4
 
0.2%
2.86 4
 
0.2%
0.97 4
 
0.2%
0.64 3
 
0.2%
Other values (129) 170
 
9.6%
2023-12-09T21:15:55.982492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
14.2%
l 1532
14.2%
N 766
7.1%
t 766
7.1%
766
7.1%
A 766
7.1%
v 766
7.1%
i 766
7.1%
b 766
7.1%
e 766
7.1%
Other values (12) 1570
14.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
71.2%
Uppercase Letter 1532
 
14.2%
Space Separator 766
 
7.1%
Decimal Number 610
 
5.7%
Other Punctuation 194
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 139
22.8%
0 95
15.6%
2 75
12.3%
3 68
11.1%
8 43
 
7.0%
4 42
 
6.9%
6 40
 
6.6%
9 37
 
6.1%
7 37
 
6.1%
5 34
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
t 766
10.0%
v 766
10.0%
i 766
10.0%
b 766
10.0%
e 766
10.0%
o 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
85.4%
Common 1570
 
14.6%

Most frequent character per script

Common
ValueCountFrequency (%)
766
48.8%
. 194
 
12.4%
1 139
 
8.9%
0 95
 
6.1%
2 75
 
4.8%
3 68
 
4.3%
8 43
 
2.7%
4 42
 
2.7%
6 40
 
2.5%
9 37
 
2.4%
Other values (2) 71
 
4.5%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
t 766
8.3%
A 766
8.3%
v 766
8.3%
i 766
8.3%
b 766
8.3%
e 766
8.3%
o 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
14.2%
l 1532
14.2%
N 766
7.1%
t 766
7.1%
766
7.1%
A 766
7.1%
v 766
7.1%
i 766
7.1%
b 766
7.1%
e 766
7.1%
Other values (12) 1570
14.6%
Distinct68
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size66.0 KiB
2023-12-09T21:15:56.259093image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.454
Min length1

Characters and Unicode

Total characters10454
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)3.4%

Sample

1st row90
2nd row98
3rd rowNot Available
4th rowNot Available
5th row120
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
65 45
 
2.5%
60 20
 
1.1%
70 12
 
0.7%
55 10
 
0.6%
84 9
 
0.5%
40 8
 
0.5%
80 8
 
0.5%
168 7
 
0.4%
Other values (59) 115
 
6.5%
2023-12-09T21:15:56.657255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
14.7%
l 1532
14.7%
N 766
7.3%
o 766
7.3%
b 766
7.3%
i 766
7.3%
e 766
7.3%
v 766
7.3%
A 766
7.3%
766
7.3%
Other values (11) 1262
12.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
73.3%
Uppercase Letter 1532
 
14.7%
Space Separator 766
 
7.3%
Decimal Number 496
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 100
20.2%
5 89
17.9%
0 74
14.9%
8 54
10.9%
1 48
9.7%
7 40
 
8.1%
4 35
 
7.1%
9 27
 
5.4%
3 16
 
3.2%
2 13
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
o 766
10.0%
b 766
10.0%
i 766
10.0%
e 766
10.0%
v 766
10.0%
t 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
87.9%
Common 1262
 
12.1%

Most frequent character per script

Common
ValueCountFrequency (%)
766
60.7%
6 100
 
7.9%
5 89
 
7.1%
0 74
 
5.9%
8 54
 
4.3%
1 48
 
3.8%
7 40
 
3.2%
4 35
 
2.8%
9 27
 
2.1%
3 16
 
1.3%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
o 766
8.3%
b 766
8.3%
i 766
8.3%
e 766
8.3%
v 766
8.3%
A 766
8.3%
t 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
14.7%
l 1532
14.7%
N 766
7.3%
o 766
7.3%
b 766
7.3%
i 766
7.3%
e 766
7.3%
v 766
7.3%
A 766
7.3%
766
7.3%
Other values (11) 1262
12.1%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size65.9 KiB
2023-12-09T21:15:56.875882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.362
Min length1

Characters and Unicode

Total characters10362
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st row0
2nd row0
3rd rowNot Available
4th rowNot Available
5th row0.03
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
0 177
 
10.0%
0.15 8
 
0.5%
0.04 5
 
0.3%
0.05 4
 
0.2%
0.01 4
 
0.2%
0.06 4
 
0.2%
0.07 3
 
0.2%
0.17 3
 
0.2%
Other values (19) 26
 
1.5%
2023-12-09T21:15:57.199987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
14.8%
l 1532
14.8%
N 766
7.4%
o 766
7.4%
t 766
7.4%
766
7.4%
A 766
7.4%
v 766
7.4%
i 766
7.4%
b 766
7.4%
Other values (12) 1170
11.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
73.9%
Uppercase Letter 1532
 
14.8%
Space Separator 766
 
7.4%
Decimal Number 347
 
3.3%
Other Punctuation 57
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 257
74.1%
1 25
 
7.2%
4 17
 
4.9%
5 14
 
4.0%
2 8
 
2.3%
3 8
 
2.3%
7 6
 
1.7%
6 5
 
1.4%
8 5
 
1.4%
9 2
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
o 766
10.0%
t 766
10.0%
v 766
10.0%
i 766
10.0%
b 766
10.0%
e 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
88.7%
Common 1170
 
11.3%

Most frequent character per script

Common
ValueCountFrequency (%)
766
65.5%
0 257
 
22.0%
. 57
 
4.9%
1 25
 
2.1%
4 17
 
1.5%
5 14
 
1.2%
2 8
 
0.7%
3 8
 
0.7%
7 6
 
0.5%
6 5
 
0.4%
Other values (2) 7
 
0.6%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
o 766
8.3%
t 766
8.3%
A 766
8.3%
v 766
8.3%
i 766
8.3%
b 766
8.3%
e 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
14.8%
l 1532
14.8%
N 766
7.4%
o 766
7.4%
t 766
7.4%
766
7.4%
A 766
7.4%
v 766
7.4%
i 766
7.4%
b 766
7.4%
Other values (12) 1170
11.3%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size66.2 KiB
2023-12-09T21:15:57.412910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.666
Min length1

Characters and Unicode

Total characters10666
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.1%

Sample

1st row100
2nd row100
3rd rowNot Available
4th rowNot Available
5th row100
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
100 194
 
11.0%
80 7
 
0.4%
90 5
 
0.3%
70 4
 
0.2%
40 3
 
0.2%
60 1
 
0.1%
38.81 1
 
0.1%
95.52 1
 
0.1%
Other values (18) 18
 
1.0%
2023-12-09T21:15:57.741163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
14.4%
l 1532
14.4%
N 766
7.2%
t 766
7.2%
766
7.2%
A 766
7.2%
v 766
7.2%
i 766
7.2%
b 766
7.2%
e 766
7.2%
Other values (12) 1474
13.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
71.8%
Uppercase Letter 1532
 
14.4%
Space Separator 766
 
7.2%
Decimal Number 692
 
6.5%
Other Punctuation 16
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 414
59.8%
1 201
29.0%
8 19
 
2.7%
9 11
 
1.6%
7 11
 
1.6%
5 10
 
1.4%
3 8
 
1.2%
2 8
 
1.2%
4 7
 
1.0%
6 3
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
t 766
10.0%
v 766
10.0%
i 766
10.0%
b 766
10.0%
e 766
10.0%
o 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
86.2%
Common 1474
 
13.8%

Most frequent character per script

Common
ValueCountFrequency (%)
766
52.0%
0 414
28.1%
1 201
 
13.6%
8 19
 
1.3%
. 16
 
1.1%
9 11
 
0.7%
7 11
 
0.7%
5 10
 
0.7%
3 8
 
0.5%
2 8
 
0.5%
Other values (2) 10
 
0.7%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
t 766
8.3%
A 766
8.3%
v 766
8.3%
i 766
8.3%
b 766
8.3%
e 766
8.3%
o 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10666
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
14.4%
l 1532
14.4%
N 766
7.2%
t 766
7.2%
766
7.2%
A 766
7.2%
v 766
7.2%
i 766
7.2%
b 766
7.2%
e 766
7.2%
Other values (12) 1474
13.8%
Distinct115
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T21:15:58.089136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.798
Min length1

Characters and Unicode

Total characters10798
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)7.3%

Sample

1st row1.49
2nd row1.01
3rd rowNot Available
4th rowNot Available
5th row0.4
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
0.2 36
 
2.0%
0 13
 
0.7%
0.21 13
 
0.7%
0.15 6
 
0.3%
0.42 5
 
0.3%
2 5
 
0.3%
0.11 4
 
0.2%
0.25 4
 
0.2%
Other values (106) 148
 
8.4%
2023-12-09T21:15:58.556538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
14.2%
l 1532
14.2%
N 766
7.1%
t 766
7.1%
766
7.1%
A 766
7.1%
v 766
7.1%
i 766
7.1%
b 766
7.1%
e 766
7.1%
Other values (12) 1606
14.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
70.9%
Uppercase Letter 1532
 
14.2%
Space Separator 766
 
7.1%
Decimal Number 624
 
5.8%
Other Punctuation 216
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
32.5%
2 96
15.4%
1 92
14.7%
3 43
 
6.9%
5 39
 
6.2%
4 39
 
6.2%
6 30
 
4.8%
8 28
 
4.5%
9 28
 
4.5%
7 26
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
t 766
10.0%
v 766
10.0%
i 766
10.0%
b 766
10.0%
e 766
10.0%
o 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
85.1%
Common 1606
 
14.9%

Most frequent character per script

Common
ValueCountFrequency (%)
766
47.7%
. 216
 
13.4%
0 203
 
12.6%
2 96
 
6.0%
1 92
 
5.7%
3 43
 
2.7%
5 39
 
2.4%
4 39
 
2.4%
6 30
 
1.9%
8 28
 
1.7%
Other values (2) 54
 
3.4%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
t 766
8.3%
A 766
8.3%
v 766
8.3%
i 766
8.3%
b 766
8.3%
e 766
8.3%
o 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
14.2%
l 1532
14.2%
N 766
7.1%
t 766
7.1%
766
7.1%
A 766
7.1%
v 766
7.1%
i 766
7.1%
b 766
7.1%
e 766
7.1%
Other values (12) 1606
14.9%
Distinct63
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size66.0 KiB
2023-12-09T21:15:58.826570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.479
Min length1

Characters and Unicode

Total characters10479
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)4.2%

Sample

1st row0.3
2nd row0.1
3rd rowNot Available
4th rowNot Available
5th row0.08
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
0 135
 
7.6%
0.15 7
 
0.4%
0.11 7
 
0.4%
0.08 6
 
0.3%
0.04 4
 
0.2%
0.13 4
 
0.2%
0.06 3
 
0.2%
0.34 2
 
0.1%
Other values (54) 66
 
3.7%
2023-12-09T21:15:59.207847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
14.6%
l 1532
14.6%
N 766
7.3%
o 766
7.3%
t 766
7.3%
766
7.3%
A 766
7.3%
v 766
7.3%
i 766
7.3%
b 766
7.3%
Other values (12) 1287
12.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
73.1%
Uppercase Letter 1532
 
14.6%
Space Separator 766
 
7.3%
Decimal Number 423
 
4.0%
Other Punctuation 98
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 240
56.7%
1 54
 
12.8%
5 22
 
5.2%
2 21
 
5.0%
4 19
 
4.5%
3 19
 
4.5%
8 16
 
3.8%
6 12
 
2.8%
7 11
 
2.6%
9 9
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
o 766
10.0%
t 766
10.0%
v 766
10.0%
i 766
10.0%
b 766
10.0%
e 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
87.7%
Common 1287
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
766
59.5%
0 240
 
18.6%
. 98
 
7.6%
1 54
 
4.2%
5 22
 
1.7%
2 21
 
1.6%
4 19
 
1.5%
3 19
 
1.5%
8 16
 
1.2%
6 12
 
0.9%
Other values (2) 20
 
1.6%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
o 766
8.3%
t 766
8.3%
A 766
8.3%
v 766
8.3%
i 766
8.3%
b 766
8.3%
e 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10479
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
14.6%
l 1532
14.6%
N 766
7.3%
o 766
7.3%
t 766
7.3%
766
7.3%
A 766
7.3%
v 766
7.3%
i 766
7.3%
b 766
7.3%
Other values (12) 1287
12.3%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size65.7 KiB
2023-12-09T21:15:59.395012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.193
Min length1

Characters and Unicode

Total characters10193
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd rowNot Available
4th rowNot Available
5th row2
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
0 177
 
10.0%
1 18
 
1.0%
2 14
 
0.8%
4 6
 
0.3%
3 5
 
0.3%
7 5
 
0.3%
5 4
 
0.2%
6 2
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T21:15:59.689087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
15.0%
l 1532
15.0%
N 766
7.5%
o 766
7.5%
b 766
7.5%
i 766
7.5%
e 766
7.5%
v 766
7.5%
A 766
7.5%
766
7.5%
Other values (11) 1001
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
75.1%
Uppercase Letter 1532
 
15.0%
Space Separator 766
 
7.5%
Decimal Number 235
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
75.3%
1 18
 
7.7%
2 15
 
6.4%
4 6
 
2.6%
3 5
 
2.1%
7 5
 
2.1%
5 5
 
2.1%
6 2
 
0.9%
9 1
 
0.4%
8 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
o 766
10.0%
b 766
10.0%
i 766
10.0%
e 766
10.0%
v 766
10.0%
t 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
90.2%
Common 1001
 
9.8%

Most frequent character per script

Common
ValueCountFrequency (%)
766
76.5%
0 177
 
17.7%
1 18
 
1.8%
2 15
 
1.5%
4 6
 
0.6%
3 5
 
0.5%
7 5
 
0.5%
5 5
 
0.5%
6 2
 
0.2%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
o 766
8.3%
b 766
8.3%
i 766
8.3%
e 766
8.3%
v 766
8.3%
A 766
8.3%
t 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10193
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
15.0%
l 1532
15.0%
N 766
7.5%
o 766
7.5%
b 766
7.5%
i 766
7.5%
e 766
7.5%
v 766
7.5%
A 766
7.5%
766
7.5%
Other values (11) 1001
9.8%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T21:15:59.897480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.222
Min length1

Characters and Unicode

Total characters10222
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st row3
2nd row2
3rd rowNot Available
4th rowNot Available
5th row5
ValueCountFrequency (%)
not 766
43.4%
available 766
43.4%
0 136
 
7.7%
2 16
 
0.9%
1 13
 
0.7%
5 9
 
0.5%
3 8
 
0.5%
4 8
 
0.5%
6 7
 
0.4%
13 4
 
0.2%
Other values (19) 33
 
1.9%
2023-12-09T21:16:00.219182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1532
15.0%
l 1532
15.0%
N 766
7.5%
o 766
7.5%
b 766
7.5%
i 766
7.5%
e 766
7.5%
v 766
7.5%
A 766
7.5%
766
7.5%
Other values (11) 1030
10.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7660
74.9%
Uppercase Letter 1532
 
15.0%
Space Separator 766
 
7.5%
Decimal Number 264
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
53.0%
1 33
 
12.5%
2 21
 
8.0%
3 16
 
6.1%
4 16
 
6.1%
5 15
 
5.7%
6 10
 
3.8%
8 6
 
2.3%
9 4
 
1.5%
7 3
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
a 1532
20.0%
l 1532
20.0%
o 766
10.0%
b 766
10.0%
i 766
10.0%
e 766
10.0%
v 766
10.0%
t 766
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 766
50.0%
A 766
50.0%
Space Separator
ValueCountFrequency (%)
766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9192
89.9%
Common 1030
 
10.1%

Most frequent character per script

Common
ValueCountFrequency (%)
766
74.4%
0 140
 
13.6%
1 33
 
3.2%
2 21
 
2.0%
3 16
 
1.6%
4 16
 
1.6%
5 15
 
1.5%
6 10
 
1.0%
8 6
 
0.6%
9 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1532
16.7%
l 1532
16.7%
N 766
8.3%
o 766
8.3%
b 766
8.3%
i 766
8.3%
e 766
8.3%
v 766
8.3%
A 766
8.3%
t 766
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1532
15.0%
l 1532
15.0%
N 766
7.5%
o 766
7.5%
b 766
7.5%
i 766
7.5%
e 766
7.5%
v 766
7.5%
A 766
7.5%
766
7.5%
Other values (11) 1030
10.1%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:00.407877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.921
Min length5

Characters and Unicode

Total characters12921
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
381993 2
 
0.1%
211000 1
 
0.1%
136164 1
 
0.1%
174788 1
 
0.1%
75000 1
 
0.1%
165906 1
 
0.1%
295126 1
 
0.1%
53856 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:16:00.726324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1053
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.5%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 64
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
15.6%
0 10
15.6%
5 8
12.5%
9 7
10.9%
3 6
9.4%
6 6
9.4%
8 5
7.8%
2 5
7.8%
7 5
7.8%
4 2
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
91.9%
Common 1053
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
989
93.9%
1 10
 
0.9%
0 10
 
0.9%
5 8
 
0.8%
9 7
 
0.7%
3 6
 
0.6%
6 6
 
0.6%
8 5
 
0.5%
2 5
 
0.5%
7 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12921
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1053
8.1%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:00.913595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.89
Min length3

Characters and Unicode

Total characters12890
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
515 2
 
0.1%
278 1
 
0.1%
310 1
 
0.1%
350 1
 
0.1%
110 1
 
0.1%
199 1
 
0.1%
430 1
 
0.1%
227 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:16:01.225701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (10) 1022
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.7%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 33
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
18.2%
5 5
15.2%
2 5
15.2%
3 4
12.1%
0 4
12.1%
7 3
9.1%
4 3
9.1%
9 2
 
6.1%
8 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.1%
Common 1022
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
96.8%
1 6
 
0.6%
5 5
 
0.5%
2 5
 
0.5%
3 4
 
0.4%
0 4
 
0.4%
7 3
 
0.3%
4 3
 
0.3%
9 2
 
0.2%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (10) 1022
7.9%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:01.419532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.871
Min length1

Characters and Unicode

Total characters12871
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
19 2
 
0.1%
7 2
 
0.1%
6 2
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
12 1
 
0.1%
2023-12-09T21:16:01.721268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (10) 1003
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.8%
Uppercase Letter 1978
 
15.4%
Space Separator 989
 
7.7%
Decimal Number 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3
21.4%
9 2
14.3%
7 2
14.3%
6 2
14.3%
5 1
 
7.1%
3 1
 
7.1%
4 1
 
7.1%
8 1
 
7.1%
2 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.2%
Common 1003
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
98.6%
1 3
 
0.3%
9 2
 
0.2%
7 2
 
0.2%
6 2
 
0.2%
5 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (10) 1003
7.8%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:01.901107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.869
Min length1

Characters and Unicode

Total characters12869
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
2 4
 
0.2%
1 2
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%
6 1
 
0.1%
15 1
 
0.1%
2023-12-09T21:16:02.196620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1978
15.4%
a 1978
15.4%
e 989
7.7%
b 989
7.7%
o 989
7.7%
i 989
7.7%
N 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (7) 1001
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.9%
Uppercase Letter 1978
 
15.4%
Space Separator 989
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1978
20.0%
a 1978
20.0%
e 989
10.0%
b 989
10.0%
o 989
10.0%
i 989
10.0%
v 989
10.0%
t 989
10.0%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
1 3
25.0%
5 2
16.7%
3 1
 
8.3%
9 1
 
8.3%
6 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.2%
Common 1001
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1978
16.7%
a 1978
16.7%
e 989
8.3%
b 989
8.3%
o 989
8.3%
i 989
8.3%
N 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
98.8%
2 4
 
0.4%
1 3
 
0.3%
5 2
 
0.2%
3 1
 
0.1%
9 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1978
15.4%
a 1978
15.4%
e 989
7.7%
b 989
7.7%
o 989
7.7%
i 989
7.7%
N 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (7) 1001
7.8%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:02.386610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.885
Min length1

Characters and Unicode

Total characters12885
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
688 2
 
0.1%
153 1
 
0.1%
150 1
 
0.1%
110 1
 
0.1%
50 1
 
0.1%
10 1
 
0.1%
39 1
 
0.1%
6 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:16:02.693352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
e 989
7.7%
o 989
7.7%
i 989
7.7%
b 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (9) 1017
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.8%
Uppercase Letter 1978
 
15.4%
Space Separator 989
 
7.7%
Decimal Number 28
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
e 989
10.0%
o 989
10.0%
i 989
10.0%
b 989
10.0%
v 989
10.0%
t 989
10.0%
Decimal Number
ValueCountFrequency (%)
1 7
25.0%
0 7
25.0%
8 4
14.3%
6 3
10.7%
5 3
10.7%
3 2
 
7.1%
9 1
 
3.6%
2 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.1%
Common 1017
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
e 989
8.3%
o 989
8.3%
i 989
8.3%
b 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
97.2%
1 7
 
0.7%
0 7
 
0.7%
8 4
 
0.4%
6 3
 
0.3%
5 3
 
0.3%
3 2
 
0.2%
9 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12885
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
e 989
7.7%
o 989
7.7%
i 989
7.7%
b 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (9) 1017
7.9%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:02.874835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.873
Min length1

Characters and Unicode

Total characters12873
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
0 4
 
0.2%
30 2
 
0.1%
20 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%
14 1
 
0.1%
15 1
 
0.1%
2023-12-09T21:16:03.170090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
e 989
7.7%
o 989
7.7%
i 989
7.7%
b 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (8) 1005
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.8%
Uppercase Letter 1978
 
15.4%
Space Separator 989
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
e 989
10.0%
o 989
10.0%
i 989
10.0%
b 989
10.0%
v 989
10.0%
t 989
10.0%
Decimal Number
ValueCountFrequency (%)
0 7
43.8%
3 2
 
12.5%
4 2
 
12.5%
1 2
 
12.5%
2 1
 
6.2%
9 1
 
6.2%
5 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.2%
Common 1005
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
e 989
8.3%
o 989
8.3%
i 989
8.3%
b 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
98.4%
0 7
 
0.7%
3 2
 
0.2%
4 2
 
0.2%
1 2
 
0.2%
2 1
 
0.1%
9 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12873
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
e 989
7.7%
o 989
7.7%
i 989
7.7%
b 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (8) 1005
7.8%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:03.349732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.87
Min length1

Characters and Unicode

Total characters12870
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
0 5
 
0.3%
3 2
 
0.1%
1 1
 
0.1%
10 1
 
0.1%
8 1
 
0.1%
12 1
 
0.1%
2023-12-09T21:16:03.641358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
o 989
7.7%
t 989
7.7%
989
7.7%
A 989
7.7%
v 989
7.7%
i 989
7.7%
b 989
7.7%
Other values (6) 1002
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.8%
Uppercase Letter 1978
 
15.4%
Space Separator 989
 
7.7%
Decimal Number 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
t 989
10.0%
v 989
10.0%
i 989
10.0%
b 989
10.0%
e 989
10.0%
Decimal Number
ValueCountFrequency (%)
0 6
46.2%
1 3
23.1%
3 2
 
15.4%
8 1
 
7.7%
2 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.2%
Common 1002
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
t 989
8.3%
A 989
8.3%
v 989
8.3%
i 989
8.3%
b 989
8.3%
e 989
8.3%
Common
ValueCountFrequency (%)
989
98.7%
0 6
 
0.6%
1 3
 
0.3%
3 2
 
0.2%
8 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.4%
l 1978
15.4%
N 989
7.7%
o 989
7.7%
t 989
7.7%
989
7.7%
A 989
7.7%
v 989
7.7%
i 989
7.7%
b 989
7.7%
Other values (6) 1002
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:03.812765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.888
Min length2

Characters and Unicode

Total characters12888
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
100 9
 
0.5%
90 1
 
0.1%
73 1
 
0.1%
2023-12-09T21:16:04.098729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
t 989
7.7%
989
7.7%
A 989
7.7%
v 989
7.7%
i 989
7.7%
b 989
7.7%
Other values (6) 1020
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.7%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 31
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
t 989
10.0%
v 989
10.0%
i 989
10.0%
b 989
10.0%
e 989
10.0%
Decimal Number
ValueCountFrequency (%)
0 19
61.3%
1 9
29.0%
9 1
 
3.2%
7 1
 
3.2%
3 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
t 989
8.3%
A 989
8.3%
v 989
8.3%
i 989
8.3%
b 989
8.3%
e 989
8.3%
Common
ValueCountFrequency (%)
989
97.0%
0 19
 
1.9%
1 9
 
0.9%
9 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
t 989
7.7%
989
7.7%
A 989
7.7%
v 989
7.7%
i 989
7.7%
b 989
7.7%
Other values (6) 1020
7.9%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:06.081169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.889
Min length2

Characters and Unicode

Total characters12889
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
324 2
 
0.1%
334 1
 
0.1%
467 1
 
0.1%
215 1
 
0.1%
280 1
 
0.1%
204 1
 
0.1%
200 1
 
0.1%
154 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:16:06.387574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (10) 1021
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.7%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 32
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
18.8%
4 6
18.8%
0 6
18.8%
3 4
12.5%
1 3
9.4%
5 3
9.4%
8 2
 
6.2%
6 1
 
3.1%
7 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.1%
Common 1021
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
96.9%
2 6
 
0.6%
4 6
 
0.6%
0 6
 
0.6%
3 4
 
0.4%
1 3
 
0.3%
5 3
 
0.3%
8 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (10) 1021
7.9%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:06.575441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.89
Min length3

Characters and Unicode

Total characters12890
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
527 2
 
0.1%
319 1
 
0.1%
280 1
 
0.1%
200 1
 
0.1%
494 1
 
0.1%
126 1
 
0.1%
320 1
 
0.1%
239 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:16:06.870985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1022
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.7%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 33
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
24.2%
3 5
15.2%
0 5
15.2%
9 3
 
9.1%
4 3
 
9.1%
5 2
 
6.1%
7 2
 
6.1%
1 2
 
6.1%
6 2
 
6.1%
8 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.1%
Common 1022
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
989
96.8%
2 8
 
0.8%
3 5
 
0.5%
0 5
 
0.5%
9 3
 
0.3%
4 3
 
0.3%
5 2
 
0.2%
7 2
 
0.2%
1 2
 
0.2%
6 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1022
7.9%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:07.062277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.887
Min length2

Characters and Unicode

Total characters12887
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
500 2
 
0.1%
20 1
 
0.1%
128 1
 
0.1%
150 1
 
0.1%
270 1
 
0.1%
67 1
 
0.1%
400 1
 
0.1%
25 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:16:07.389160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
e 989
7.7%
o 989
7.7%
i 989
7.7%
b 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (9) 1019
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.7%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 30
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
e 989
10.0%
o 989
10.0%
i 989
10.0%
b 989
10.0%
v 989
10.0%
t 989
10.0%
Decimal Number
ValueCountFrequency (%)
0 11
36.7%
2 6
20.0%
5 5
16.7%
1 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
8 1
 
3.3%
6 1
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.1%
Common 1019
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
e 989
8.3%
o 989
8.3%
i 989
8.3%
b 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
97.1%
0 11
 
1.1%
2 6
 
0.6%
5 5
 
0.5%
1 2
 
0.2%
7 2
 
0.2%
4 2
 
0.2%
8 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
e 989
7.7%
o 989
7.7%
i 989
7.7%
b 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (9) 1019
7.9%
Distinct98
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T21:16:07.750046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.16
Min length3

Characters and Unicode

Total characters12160
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)9.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 898
47.3%
available 898
47.3%
900 2
 
0.1%
5700 2
 
0.1%
1555 2
 
0.1%
1200 2
 
0.1%
1850 2
 
0.1%
64855 1
 
0.1%
54188 1
 
0.1%
72718 1
 
0.1%
Other values (89) 89
 
4.7%
2023-12-09T21:16:08.231148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1796
14.8%
l 1796
14.8%
N 898
7.4%
o 898
7.4%
b 898
7.4%
i 898
7.4%
e 898
7.4%
v 898
7.4%
A 898
7.4%
898
7.4%
Other values (11) 1384
11.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8980
73.8%
Uppercase Letter 1796
 
14.8%
Space Separator 898
 
7.4%
Decimal Number 486
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
15.4%
5 62
12.8%
7 55
11.3%
8 53
10.9%
1 46
9.5%
6 45
9.3%
4 42
8.6%
9 41
8.4%
2 37
7.6%
3 30
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1796
20.0%
l 1796
20.0%
o 898
10.0%
b 898
10.0%
i 898
10.0%
e 898
10.0%
v 898
10.0%
t 898
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 898
50.0%
A 898
50.0%
Space Separator
ValueCountFrequency (%)
898
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10776
88.6%
Common 1384
 
11.4%

Most frequent character per script

Common
ValueCountFrequency (%)
898
64.9%
0 75
 
5.4%
5 62
 
4.5%
7 55
 
4.0%
8 53
 
3.8%
1 46
 
3.3%
6 45
 
3.3%
4 42
 
3.0%
9 41
 
3.0%
2 37
 
2.7%
Latin
ValueCountFrequency (%)
a 1796
16.7%
l 1796
16.7%
N 898
8.3%
o 898
8.3%
b 898
8.3%
i 898
8.3%
e 898
8.3%
v 898
8.3%
A 898
8.3%
t 898
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1796
14.8%
l 1796
14.8%
N 898
7.4%
o 898
7.4%
b 898
7.4%
i 898
7.4%
e 898
7.4%
v 898
7.4%
A 898
7.4%
898
7.4%
Other values (11) 1384
11.4%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:16:08.442680image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.997
Min length1

Characters and Unicode

Total characters11997
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 911
47.7%
available 911
47.7%
15 13
 
0.7%
13 13
 
0.7%
10 10
 
0.5%
11 9
 
0.5%
12 9
 
0.5%
14 9
 
0.5%
9 5
 
0.3%
5 4
 
0.2%
Other values (10) 17
 
0.9%
2023-12-09T21:16:08.750676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1822
15.2%
l 1822
15.2%
N 911
7.6%
o 911
7.6%
b 911
7.6%
i 911
7.6%
e 911
7.6%
v 911
7.6%
A 911
7.6%
911
7.6%
Other values (11) 1065
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9110
75.9%
Uppercase Letter 1822
 
15.2%
Space Separator 911
 
7.6%
Decimal Number 154
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 75
48.7%
5 17
 
11.0%
3 14
 
9.1%
0 13
 
8.4%
2 12
 
7.8%
4 11
 
7.1%
9 5
 
3.2%
7 3
 
1.9%
8 2
 
1.3%
6 2
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1822
20.0%
l 1822
20.0%
o 911
10.0%
b 911
10.0%
i 911
10.0%
e 911
10.0%
v 911
10.0%
t 911
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 911
50.0%
A 911
50.0%
Space Separator
ValueCountFrequency (%)
911
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10932
91.1%
Common 1065
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
911
85.5%
1 75
 
7.0%
5 17
 
1.6%
3 14
 
1.3%
0 13
 
1.2%
2 12
 
1.1%
4 11
 
1.0%
9 5
 
0.5%
7 3
 
0.3%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1822
16.7%
l 1822
16.7%
N 911
8.3%
o 911
8.3%
b 911
8.3%
i 911
8.3%
e 911
8.3%
v 911
8.3%
A 911
8.3%
t 911
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1822
15.2%
l 1822
15.2%
N 911
7.6%
o 911
7.6%
b 911
7.6%
i 911
7.6%
e 911
7.6%
v 911
7.6%
A 911
7.6%
911
7.6%
Other values (11) 1065
8.9%
Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:16:08.974955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.12
Min length1

Characters and Unicode

Total characters12120
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 921
47.9%
available 921
47.9%
43 7
 
0.4%
49 6
 
0.3%
1 6
 
0.3%
2 4
 
0.2%
48 4
 
0.2%
41 4
 
0.2%
39 4
 
0.2%
32 3
 
0.2%
Other values (25) 41
 
2.1%
2023-12-09T21:16:09.309178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1842
15.2%
l 1842
15.2%
N 921
7.6%
o 921
7.6%
b 921
7.6%
i 921
7.6%
e 921
7.6%
v 921
7.6%
A 921
7.6%
921
7.6%
Other values (11) 1068
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9210
76.0%
Uppercase Letter 1842
 
15.2%
Space Separator 921
 
7.6%
Decimal Number 147
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 38
25.9%
3 33
22.4%
1 17
11.6%
2 17
11.6%
9 12
 
8.2%
8 9
 
6.1%
5 7
 
4.8%
7 6
 
4.1%
6 5
 
3.4%
0 3
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 1842
20.0%
l 1842
20.0%
o 921
10.0%
b 921
10.0%
i 921
10.0%
e 921
10.0%
v 921
10.0%
t 921
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 921
50.0%
A 921
50.0%
Space Separator
ValueCountFrequency (%)
921
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11052
91.2%
Common 1068
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
921
86.2%
4 38
 
3.6%
3 33
 
3.1%
1 17
 
1.6%
2 17
 
1.6%
9 12
 
1.1%
8 9
 
0.8%
5 7
 
0.7%
7 6
 
0.6%
6 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1842
16.7%
l 1842
16.7%
N 921
8.3%
o 921
8.3%
b 921
8.3%
i 921
8.3%
e 921
8.3%
v 921
8.3%
A 921
8.3%
t 921
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1842
15.2%
l 1842
15.2%
N 921
7.6%
o 921
7.6%
b 921
7.6%
i 921
7.6%
e 921
7.6%
v 921
7.6%
A 921
7.6%
921
7.6%
Other values (11) 1068
8.8%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T21:16:09.504236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.838
Min length1

Characters and Unicode

Total characters11838
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 898
47.3%
available 898
47.3%
13 13
 
0.7%
15 11
 
0.6%
11 9
 
0.5%
12 9
 
0.5%
14 9
 
0.5%
5 9
 
0.5%
10 9
 
0.5%
1 8
 
0.4%
Other values (9) 25
 
1.3%
2023-12-09T21:16:09.812626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1796
15.2%
l 1796
15.2%
N 898
7.6%
o 898
7.6%
b 898
7.6%
i 898
7.6%
e 898
7.6%
v 898
7.6%
A 898
7.6%
898
7.6%
Other values (11) 1062
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8980
75.9%
Uppercase Letter 1796
 
15.2%
Space Separator 898
 
7.6%
Decimal Number 164
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 78
47.6%
5 20
 
12.2%
3 15
 
9.1%
2 15
 
9.1%
0 13
 
7.9%
4 9
 
5.5%
9 5
 
3.0%
7 3
 
1.8%
8 3
 
1.8%
6 3
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1796
20.0%
l 1796
20.0%
o 898
10.0%
b 898
10.0%
i 898
10.0%
e 898
10.0%
v 898
10.0%
t 898
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 898
50.0%
A 898
50.0%
Space Separator
ValueCountFrequency (%)
898
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10776
91.0%
Common 1062
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
898
84.6%
1 78
 
7.3%
5 20
 
1.9%
3 15
 
1.4%
2 15
 
1.4%
0 13
 
1.2%
4 9
 
0.8%
9 5
 
0.5%
7 3
 
0.3%
8 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1796
16.7%
l 1796
16.7%
N 898
8.3%
o 898
8.3%
b 898
8.3%
i 898
8.3%
e 898
8.3%
v 898
8.3%
A 898
8.3%
t 898
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1796
15.2%
l 1796
15.2%
N 898
7.6%
o 898
7.6%
b 898
7.6%
i 898
7.6%
e 898
7.6%
v 898
7.6%
A 898
7.6%
898
7.6%
Other values (11) 1062
9.0%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T21:16:09.989249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.897
Min length2

Characters and Unicode

Total characters11897
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 898
47.3%
available 898
47.3%
70 81
 
4.3%
100 16
 
0.8%
90 2
 
0.1%
50 1
 
0.1%
33.33 1
 
0.1%
10 1
 
0.1%
2023-12-09T21:16:10.294227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1796
15.1%
l 1796
15.1%
N 898
7.5%
e 898
7.5%
o 898
7.5%
i 898
7.5%
b 898
7.5%
v 898
7.5%
A 898
7.5%
898
7.5%
Other values (8) 1121
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8980
75.5%
Uppercase Letter 1796
 
15.1%
Space Separator 898
 
7.5%
Decimal Number 222
 
1.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1796
20.0%
l 1796
20.0%
e 898
10.0%
o 898
10.0%
i 898
10.0%
b 898
10.0%
v 898
10.0%
t 898
10.0%
Decimal Number
ValueCountFrequency (%)
0 117
52.7%
7 81
36.5%
1 17
 
7.7%
3 4
 
1.8%
9 2
 
0.9%
5 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
N 898
50.0%
A 898
50.0%
Space Separator
ValueCountFrequency (%)
898
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10776
90.6%
Common 1121
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1796
16.7%
l 1796
16.7%
N 898
8.3%
e 898
8.3%
o 898
8.3%
i 898
8.3%
b 898
8.3%
v 898
8.3%
A 898
8.3%
t 898
8.3%
Common
ValueCountFrequency (%)
898
80.1%
0 117
 
10.4%
7 81
 
7.2%
1 17
 
1.5%
3 4
 
0.4%
9 2
 
0.2%
5 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1796
15.1%
l 1796
15.1%
N 898
7.5%
e 898
7.5%
o 898
7.5%
i 898
7.5%
b 898
7.5%
v 898
7.5%
A 898
7.5%
898
7.5%
Other values (8) 1121
9.4%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T21:16:10.471089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.78
Min length1

Characters and Unicode

Total characters11780
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 898
47.3%
available 898
47.3%
1 90
 
4.7%
0 10
 
0.5%
33 1
 
0.1%
1.0 1
 
0.1%
2023-12-09T21:16:10.771281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1796
15.2%
l 1796
15.2%
N 898
7.6%
o 898
7.6%
t 898
7.6%
898
7.6%
A 898
7.6%
v 898
7.6%
i 898
7.6%
b 898
7.6%
Other values (5) 1004
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8980
76.2%
Uppercase Letter 1796
 
15.2%
Space Separator 898
 
7.6%
Decimal Number 104
 
0.9%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1796
20.0%
l 1796
20.0%
o 898
10.0%
t 898
10.0%
v 898
10.0%
i 898
10.0%
b 898
10.0%
e 898
10.0%
Decimal Number
ValueCountFrequency (%)
1 91
87.5%
0 11
 
10.6%
3 2
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
N 898
50.0%
A 898
50.0%
Space Separator
ValueCountFrequency (%)
898
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10776
91.5%
Common 1004
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1796
16.7%
l 1796
16.7%
N 898
8.3%
o 898
8.3%
t 898
8.3%
A 898
8.3%
v 898
8.3%
i 898
8.3%
b 898
8.3%
e 898
8.3%
Common
ValueCountFrequency (%)
898
89.4%
1 91
 
9.1%
0 11
 
1.1%
. 2
 
0.2%
3 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1796
15.2%
l 1796
15.2%
N 898
7.6%
o 898
7.6%
t 898
7.6%
898
7.6%
A 898
7.6%
v 898
7.6%
i 898
7.6%
b 898
7.6%
Other values (5) 1004
8.5%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:16:10.980674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.074
Min length1

Characters and Unicode

Total characters12074
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 898
47.3%
available 898
47.3%
0.19 42
 
2.2%
0.18 29
 
1.5%
0.17 5
 
0.3%
0.88 2
 
0.1%
1.11 2
 
0.1%
0 2
 
0.1%
0.26 2
 
0.1%
0.54 2
 
0.1%
Other values (14) 16
 
0.8%
2023-12-09T21:16:11.306969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1796
14.9%
l 1796
14.9%
N 898
7.4%
t 898
7.4%
898
7.4%
A 898
7.4%
v 898
7.4%
i 898
7.4%
b 898
7.4%
e 898
7.4%
Other values (12) 1298
10.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8980
74.4%
Uppercase Letter 1796
 
14.9%
Space Separator 898
 
7.4%
Decimal Number 301
 
2.5%
Other Punctuation 99
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 95
31.6%
1 92
30.6%
9 45
15.0%
8 40
13.3%
2 9
 
3.0%
3 6
 
2.0%
7 5
 
1.7%
5 5
 
1.7%
4 2
 
0.7%
6 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
a 1796
20.0%
l 1796
20.0%
t 898
10.0%
v 898
10.0%
i 898
10.0%
b 898
10.0%
e 898
10.0%
o 898
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 898
50.0%
A 898
50.0%
Space Separator
ValueCountFrequency (%)
898
100.0%
Other Punctuation
ValueCountFrequency (%)
. 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10776
89.2%
Common 1298
 
10.8%

Most frequent character per script

Common
ValueCountFrequency (%)
898
69.2%
. 99
 
7.6%
0 95
 
7.3%
1 92
 
7.1%
9 45
 
3.5%
8 40
 
3.1%
2 9
 
0.7%
3 6
 
0.5%
7 5
 
0.4%
5 5
 
0.4%
Other values (2) 4
 
0.3%
Latin
ValueCountFrequency (%)
a 1796
16.7%
l 1796
16.7%
N 898
8.3%
t 898
8.3%
A 898
8.3%
v 898
8.3%
i 898
8.3%
b 898
8.3%
e 898
8.3%
o 898
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12074
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1796
14.9%
l 1796
14.9%
N 898
7.4%
t 898
7.4%
898
7.4%
A 898
7.4%
v 898
7.4%
i 898
7.4%
b 898
7.4%
e 898
7.4%
Other values (12) 1298
10.8%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:16:11.495260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.965
Min length2

Characters and Unicode

Total characters11965
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 898
47.3%
available 898
47.3%
168 79
 
4.2%
80 5
 
0.3%
105 5
 
0.3%
98 3
 
0.2%
70 2
 
0.1%
72 2
 
0.1%
140 2
 
0.1%
60 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T21:16:11.798443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1796
15.0%
l 1796
15.0%
N 898
7.5%
o 898
7.5%
b 898
7.5%
i 898
7.5%
e 898
7.5%
v 898
7.5%
A 898
7.5%
898
7.5%
Other values (10) 1189
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8980
75.1%
Uppercase Letter 1796
 
15.0%
Space Separator 898
 
7.5%
Decimal Number 291
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 87
29.9%
8 87
29.9%
6 82
28.2%
0 15
 
5.2%
5 6
 
2.1%
7 6
 
2.1%
9 3
 
1.0%
2 3
 
1.0%
4 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
a 1796
20.0%
l 1796
20.0%
o 898
10.0%
b 898
10.0%
i 898
10.0%
e 898
10.0%
v 898
10.0%
t 898
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 898
50.0%
A 898
50.0%
Space Separator
ValueCountFrequency (%)
898
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10776
90.1%
Common 1189
 
9.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1796
16.7%
l 1796
16.7%
N 898
8.3%
o 898
8.3%
b 898
8.3%
i 898
8.3%
e 898
8.3%
v 898
8.3%
A 898
8.3%
t 898
8.3%
Common
ValueCountFrequency (%)
898
75.5%
1 87
 
7.3%
8 87
 
7.3%
6 82
 
6.9%
0 15
 
1.3%
5 6
 
0.5%
7 6
 
0.5%
9 3
 
0.3%
2 3
 
0.3%
4 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11965
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1796
15.0%
l 1796
15.0%
N 898
7.5%
o 898
7.5%
b 898
7.5%
i 898
7.5%
e 898
7.5%
v 898
7.5%
A 898
7.5%
898
7.5%
Other values (10) 1189
9.9%
Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:16:12.007521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.071
Min length1

Characters and Unicode

Total characters12071
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 898
47.3%
available 898
47.3%
0.75 41
 
2.2%
0.74 31
 
1.6%
0.76 3
 
0.2%
2.5 3
 
0.2%
2.22 2
 
0.1%
1.08 2
 
0.1%
1.4 2
 
0.1%
1 2
 
0.1%
Other values (15) 16
 
0.8%
2023-12-09T21:16:12.344119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1796
14.9%
l 1796
14.9%
N 898
7.4%
t 898
7.4%
898
7.4%
A 898
7.4%
v 898
7.4%
i 898
7.4%
b 898
7.4%
e 898
7.4%
Other values (12) 1295
10.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8980
74.4%
Uppercase Letter 1796
 
14.9%
Space Separator 898
 
7.4%
Decimal Number 298
 
2.5%
Other Punctuation 99
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
28.5%
7 79
26.5%
5 47
15.8%
4 38
12.8%
1 18
 
6.0%
2 11
 
3.7%
3 9
 
3.0%
6 4
 
1.3%
9 4
 
1.3%
8 3
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
a 1796
20.0%
l 1796
20.0%
t 898
10.0%
v 898
10.0%
i 898
10.0%
b 898
10.0%
e 898
10.0%
o 898
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 898
50.0%
A 898
50.0%
Space Separator
ValueCountFrequency (%)
898
100.0%
Other Punctuation
ValueCountFrequency (%)
. 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10776
89.3%
Common 1295
 
10.7%

Most frequent character per script

Common
ValueCountFrequency (%)
898
69.3%
. 99
 
7.6%
0 85
 
6.6%
7 79
 
6.1%
5 47
 
3.6%
4 38
 
2.9%
1 18
 
1.4%
2 11
 
0.8%
3 9
 
0.7%
6 4
 
0.3%
Other values (2) 7
 
0.5%
Latin
ValueCountFrequency (%)
a 1796
16.7%
l 1796
16.7%
N 898
8.3%
t 898
8.3%
A 898
8.3%
v 898
8.3%
i 898
8.3%
b 898
8.3%
e 898
8.3%
o 898
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12071
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1796
14.9%
l 1796
14.9%
N 898
7.4%
t 898
7.4%
898
7.4%
A 898
7.4%
v 898
7.4%
i 898
7.4%
b 898
7.4%
e 898
7.4%
Other values (12) 1295
10.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.7 KiB
2023-12-09T21:16:12.537445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length70
Median length13
Mean length13.219
Min length13

Characters and Unicode

Total characters13219
Distinct characters30
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
48.6%
available 993
48.6%
yards 18
 
0.9%
20 9
 
0.4%
x 9
 
0.4%
recreational 5
 
0.2%
15 5
 
0.2%
short 4
 
0.2%
course 4
 
0.2%
25 4
 
0.2%
2023-12-09T21:16:12.848281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2014
15.2%
l 1991
15.1%
1044
7.9%
e 1007
7.6%
o 1006
7.6%
t 1002
7.6%
i 998
7.5%
N 993
7.5%
b 993
7.5%
v 993
7.5%
Other values (20) 1178
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10120
76.6%
Uppercase Letter 1999
 
15.1%
Space Separator 1044
 
7.9%
Decimal Number 36
 
0.3%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2014
19.9%
l 1991
19.7%
e 1007
10.0%
o 1006
9.9%
t 1002
9.9%
i 998
9.9%
b 993
9.8%
v 993
9.8%
r 31
 
0.3%
s 22
 
0.2%
Other values (7) 63
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
N 993
49.7%
A 993
49.7%
R 5
 
0.3%
S 4
 
0.2%
C 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 13
36.1%
5 9
25.0%
0 9
25.0%
1 5
 
13.9%
Space Separator
ValueCountFrequency (%)
1044
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12119
91.7%
Common 1100
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2014
16.6%
l 1991
16.4%
e 1007
8.3%
o 1006
8.3%
t 1002
8.3%
i 998
8.2%
N 993
8.2%
b 993
8.2%
v 993
8.2%
A 993
8.2%
Other values (12) 129
 
1.1%
Common
ValueCountFrequency (%)
1044
94.9%
2 13
 
1.2%
) 9
 
0.8%
5 9
 
0.8%
( 9
 
0.8%
0 9
 
0.8%
1 5
 
0.5%
, 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2014
15.2%
l 1991
15.1%
1044
7.9%
e 1007
7.6%
o 1006
7.6%
t 1002
7.6%
i 998
7.5%
N 993
7.5%
b 993
7.5%
v 993
7.5%
Other values (20) 1178
8.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:16:13.023406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length13
Mean length12.969
Min length6

Characters and Unicode

Total characters12969
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
indoor 7
 
0.4%
outdoor 2
 
0.1%
2023-12-09T21:16:13.313399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1986
15.3%
a 1986
15.3%
o 1011
7.8%
t 995
7.7%
995
7.7%
N 993
7.7%
e 993
7.7%
b 993
7.7%
i 993
7.7%
v 993
7.7%
Other values (8) 1031
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9977
76.9%
Uppercase Letter 1995
 
15.4%
Space Separator 995
 
7.7%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1986
19.9%
a 1986
19.9%
o 1011
10.1%
t 995
10.0%
e 993
10.0%
b 993
10.0%
i 993
10.0%
v 993
10.0%
d 9
 
0.1%
r 9
 
0.1%
Other values (2) 9
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 993
49.8%
A 993
49.8%
I 7
 
0.4%
O 2
 
0.1%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11972
92.3%
Common 997
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1986
16.6%
a 1986
16.6%
o 1011
8.4%
t 995
8.3%
N 993
8.3%
e 993
8.3%
b 993
8.3%
i 993
8.3%
v 993
8.3%
A 993
8.3%
Other values (6) 36
 
0.3%
Common
ValueCountFrequency (%)
995
99.8%
, 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1986
15.3%
a 1986
15.3%
o 1011
7.8%
t 995
7.7%
995
7.7%
N 993
7.7%
e 993
7.7%
b 993
7.7%
i 993
7.7%
v 993
7.7%
Other values (8) 1031
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:13.491919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.932
Min length1

Characters and Unicode

Total characters12932
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
12 4
 
0.2%
0 2
 
0.1%
2023-12-09T21:16:13.778298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 994
7.7%
o 994
7.7%
t 994
7.7%
994
7.7%
A 994
7.7%
v 994
7.7%
i 994
7.7%
b 994
7.7%
Other values (4) 1004
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.9%
Uppercase Letter 1988
 
15.4%
Space Separator 994
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
o 994
10.0%
t 994
10.0%
v 994
10.0%
i 994
10.0%
b 994
10.0%
e 994
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
2 4
40.0%
0 2
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 994
50.0%
A 994
50.0%
Space Separator
ValueCountFrequency (%)
994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11928
92.2%
Common 1004
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 994
8.3%
o 994
8.3%
t 994
8.3%
A 994
8.3%
v 994
8.3%
i 994
8.3%
b 994
8.3%
e 994
8.3%
Common
ValueCountFrequency (%)
994
99.0%
1 4
 
0.4%
2 4
 
0.4%
0 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.4%
l 1988
15.4%
N 994
7.7%
o 994
7.7%
t 994
7.7%
994
7.7%
A 994
7.7%
v 994
7.7%
i 994
7.7%
b 994
7.7%
Other values (4) 1004
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:16:13.950666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length4

Characters and Unicode

Total characters12975
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
46000 1
 
0.1%
5000 1
 
0.1%
24467 1
 
0.1%
2023-12-09T21:16:14.240818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1011
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 6
42.9%
4 3
21.4%
6 2
 
14.3%
5 1
 
7.1%
2 1
 
7.1%
7 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1011
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.6%
0 6
 
0.6%
4 3
 
0.3%
6 2
 
0.2%
5 1
 
0.1%
2 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1011
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:16:14.416983image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.968
Min length2

Characters and Unicode

Total characters12968
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
60 1
 
0.1%
45 1
 
0.1%
168 1
 
0.1%
2023-12-09T21:16:14.705499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
6 2
28.6%
0 1
14.3%
4 1
14.3%
5 1
14.3%
1 1
14.3%
8 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.3%
6 2
 
0.2%
0 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:14.874213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.964
Min length1

Characters and Unicode

Total characters12964
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
1 3
 
0.2%
2023-12-09T21:16:15.158336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
99.7%
1 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (2) 1000
7.7%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:16:15.379884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.788
Min length4

Characters and Unicode

Total characters12788
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 973
49.3%
available 973
49.3%
4099 2
 
0.1%
130000 2
 
0.1%
32900 1
 
0.1%
207000 1
 
0.1%
207171 1
 
0.1%
5000 1
 
0.1%
61284 1
 
0.1%
68000 1
 
0.1%
Other values (17) 17
 
0.9%
2023-12-09T21:16:15.732285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1946
15.2%
l 1946
15.2%
N 973
7.6%
o 973
7.6%
b 973
7.6%
i 973
7.6%
e 973
7.6%
v 973
7.6%
A 973
7.6%
973
7.6%
Other values (11) 1112
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9730
76.1%
Uppercase Letter 1946
 
15.2%
Space Separator 973
 
7.6%
Decimal Number 139
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
38.8%
1 15
 
10.8%
2 14
 
10.1%
5 11
 
7.9%
8 11
 
7.9%
4 10
 
7.2%
3 7
 
5.0%
9 6
 
4.3%
7 6
 
4.3%
6 5
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 1946
20.0%
l 1946
20.0%
o 973
10.0%
b 973
10.0%
i 973
10.0%
e 973
10.0%
v 973
10.0%
t 973
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 973
50.0%
A 973
50.0%
Space Separator
ValueCountFrequency (%)
973
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11676
91.3%
Common 1112
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
973
87.5%
0 54
 
4.9%
1 15
 
1.3%
2 14
 
1.3%
5 11
 
1.0%
8 11
 
1.0%
4 10
 
0.9%
3 7
 
0.6%
9 6
 
0.5%
7 6
 
0.5%
Latin
ValueCountFrequency (%)
a 1946
16.7%
l 1946
16.7%
N 973
8.3%
o 973
8.3%
b 973
8.3%
i 973
8.3%
e 973
8.3%
v 973
8.3%
A 973
8.3%
t 973
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12788
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1946
15.2%
l 1946
15.2%
N 973
7.6%
o 973
7.6%
b 973
7.6%
i 973
7.6%
e 973
7.6%
v 973
7.6%
A 973
7.6%
973
7.6%
Other values (11) 1112
8.7%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:16:15.922637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.725
Min length1

Characters and Unicode

Total characters12725
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 973
49.3%
available 973
49.3%
100 15
 
0.8%
0 3
 
0.2%
74.85 2
 
0.1%
50 2
 
0.1%
85.9 1
 
0.1%
80 1
 
0.1%
90 1
 
0.1%
10 1
 
0.1%
2023-12-09T21:16:16.225031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.6%
o 973
7.6%
b 973
7.6%
i 973
7.6%
e 973
7.6%
v 973
7.6%
A 973
7.6%
973
7.6%
Other values (10) 1049
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9730
76.5%
Uppercase Letter 1946
 
15.3%
Space Separator 973
 
7.6%
Decimal Number 72
 
0.6%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1946
20.0%
l 1946
20.0%
o 973
10.0%
b 973
10.0%
i 973
10.0%
e 973
10.0%
v 973
10.0%
t 973
10.0%
Decimal Number
ValueCountFrequency (%)
0 38
52.8%
1 16
22.2%
5 7
 
9.7%
8 4
 
5.6%
7 2
 
2.8%
4 2
 
2.8%
9 2
 
2.8%
3 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
N 973
50.0%
A 973
50.0%
Space Separator
ValueCountFrequency (%)
973
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11676
91.8%
Common 1049
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1946
16.7%
l 1946
16.7%
N 973
8.3%
o 973
8.3%
b 973
8.3%
i 973
8.3%
e 973
8.3%
v 973
8.3%
A 973
8.3%
t 973
8.3%
Common
ValueCountFrequency (%)
973
92.8%
0 38
 
3.6%
1 16
 
1.5%
5 7
 
0.7%
. 4
 
0.4%
8 4
 
0.4%
7 2
 
0.2%
4 2
 
0.2%
9 2
 
0.2%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.6%
o 973
7.6%
b 973
7.6%
i 973
7.6%
e 973
7.6%
v 973
7.6%
A 973
7.6%
973
7.6%
Other values (10) 1049
8.2%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:16:16.412608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.707
Min length1

Characters and Unicode

Total characters12707
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 973
49.3%
available 973
49.3%
0 12
 
0.6%
100 5
 
0.3%
10 3
 
0.2%
74.85 2
 
0.1%
20 1
 
0.1%
50 1
 
0.1%
60 1
 
0.1%
53.53 1
 
0.1%
2023-12-09T21:16:16.785298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.7%
o 973
7.7%
b 973
7.7%
i 973
7.7%
e 973
7.7%
v 973
7.7%
A 973
7.7%
973
7.7%
Other values (11) 1031
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9730
76.6%
Uppercase Letter 1946
 
15.3%
Space Separator 973
 
7.7%
Decimal Number 54
 
0.4%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
51.9%
1 8
 
14.8%
5 6
 
11.1%
4 3
 
5.6%
8 3
 
5.6%
7 2
 
3.7%
3 2
 
3.7%
2 1
 
1.9%
6 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1946
20.0%
l 1946
20.0%
o 973
10.0%
b 973
10.0%
i 973
10.0%
e 973
10.0%
v 973
10.0%
t 973
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 973
50.0%
A 973
50.0%
Space Separator
ValueCountFrequency (%)
973
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11676
91.9%
Common 1031
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
973
94.4%
0 28
 
2.7%
1 8
 
0.8%
5 6
 
0.6%
. 4
 
0.4%
4 3
 
0.3%
8 3
 
0.3%
7 2
 
0.2%
3 2
 
0.2%
2 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1946
16.7%
l 1946
16.7%
N 973
8.3%
o 973
8.3%
b 973
8.3%
i 973
8.3%
e 973
8.3%
v 973
8.3%
A 973
8.3%
t 973
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.7%
o 973
7.7%
b 973
7.7%
i 973
7.7%
e 973
7.7%
v 973
7.7%
A 973
7.7%
973
7.7%
Other values (11) 1031
8.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:16:16.954060image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.676
Min length1

Characters and Unicode

Total characters12676
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 973
49.3%
available 973
49.3%
0 27
 
1.4%
2023-12-09T21:16:17.235473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1946
15.4%
l 1946
15.4%
N 973
7.7%
o 973
7.7%
t 973
7.7%
973
7.7%
A 973
7.7%
v 973
7.7%
i 973
7.7%
b 973
7.7%
Other values (2) 1000
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9730
76.8%
Uppercase Letter 1946
 
15.4%
Space Separator 973
 
7.7%
Decimal Number 27
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1946
20.0%
l 1946
20.0%
o 973
10.0%
t 973
10.0%
v 973
10.0%
i 973
10.0%
b 973
10.0%
e 973
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 973
50.0%
A 973
50.0%
Space Separator
ValueCountFrequency (%)
973
100.0%
Decimal Number
ValueCountFrequency (%)
0 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11676
92.1%
Common 1000
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1946
16.7%
l 1946
16.7%
N 973
8.3%
o 973
8.3%
t 973
8.3%
A 973
8.3%
v 973
8.3%
i 973
8.3%
b 973
8.3%
e 973
8.3%
Common
ValueCountFrequency (%)
973
97.3%
0 27
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1946
15.4%
l 1946
15.4%
N 973
7.7%
o 973
7.7%
t 973
7.7%
973
7.7%
A 973
7.7%
v 973
7.7%
i 973
7.7%
b 973
7.7%
Other values (2) 1000
7.9%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:16:17.421388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.709
Min length2

Characters and Unicode

Total characters12709
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 973
49.3%
available 973
49.3%
40 6
 
0.3%
128 5
 
0.3%
55 5
 
0.3%
60 3
 
0.2%
50 3
 
0.2%
65 1
 
0.1%
80 1
 
0.1%
45 1
 
0.1%
Other values (2) 2
 
0.1%
2023-12-09T21:16:17.721010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.7%
e 973
7.7%
o 973
7.7%
i 973
7.7%
b 973
7.7%
v 973
7.7%
A 973
7.7%
973
7.7%
Other values (8) 1033
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9730
76.6%
Uppercase Letter 1946
 
15.3%
Space Separator 973
 
7.7%
Decimal Number 60
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1946
20.0%
l 1946
20.0%
e 973
10.0%
o 973
10.0%
i 973
10.0%
b 973
10.0%
v 973
10.0%
t 973
10.0%
Decimal Number
ValueCountFrequency (%)
5 15
25.0%
0 13
21.7%
4 8
13.3%
8 7
11.7%
1 6
 
10.0%
2 6
 
10.0%
6 5
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 973
50.0%
A 973
50.0%
Space Separator
ValueCountFrequency (%)
973
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11676
91.9%
Common 1033
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1946
16.7%
l 1946
16.7%
N 973
8.3%
e 973
8.3%
o 973
8.3%
i 973
8.3%
b 973
8.3%
v 973
8.3%
A 973
8.3%
t 973
8.3%
Common
ValueCountFrequency (%)
973
94.2%
5 15
 
1.5%
0 13
 
1.3%
4 8
 
0.8%
8 7
 
0.7%
1 6
 
0.6%
2 6
 
0.6%
6 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12709
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.7%
e 973
7.7%
o 973
7.7%
i 973
7.7%
b 973
7.7%
v 973
7.7%
A 973
7.7%
973
7.7%
Other values (8) 1033
8.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:16:17.900009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.676
Min length1

Characters and Unicode

Total characters12676
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 973
49.3%
available 973
49.3%
0 19
 
1.0%
1 7
 
0.4%
2 1
 
0.1%
2023-12-09T21:16:18.191736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1946
15.4%
l 1946
15.4%
N 973
7.7%
o 973
7.7%
t 973
7.7%
973
7.7%
A 973
7.7%
v 973
7.7%
i 973
7.7%
b 973
7.7%
Other values (4) 1000
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9730
76.8%
Uppercase Letter 1946
 
15.4%
Space Separator 973
 
7.7%
Decimal Number 27
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1946
20.0%
l 1946
20.0%
o 973
10.0%
t 973
10.0%
v 973
10.0%
i 973
10.0%
b 973
10.0%
e 973
10.0%
Decimal Number
ValueCountFrequency (%)
0 19
70.4%
1 7
 
25.9%
2 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
N 973
50.0%
A 973
50.0%
Space Separator
ValueCountFrequency (%)
973
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11676
92.1%
Common 1000
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1946
16.7%
l 1946
16.7%
N 973
8.3%
o 973
8.3%
t 973
8.3%
A 973
8.3%
v 973
8.3%
i 973
8.3%
b 973
8.3%
e 973
8.3%
Common
ValueCountFrequency (%)
973
97.3%
0 19
 
1.9%
1 7
 
0.7%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1946
15.4%
l 1946
15.4%
N 973
7.7%
o 973
7.7%
t 973
7.7%
973
7.7%
A 973
7.7%
v 973
7.7%
i 973
7.7%
b 973
7.7%
Other values (4) 1000
7.9%

data_center_pue
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:16:18.359811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:16:18.632836image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:16:18.799690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
142872 2
 
0.1%
2023-12-09T21:16:19.087582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
1 2
16.7%
4 2
16.7%
8 2
16.7%
7 2
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
2 4
 
0.4%
1 2
 
0.2%
4 2
 
0.2%
8 2
 
0.2%
7 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1010
7.8%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:19.280009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.941
Min length6

Characters and Unicode

Total characters12941
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 988
49.7%
available 988
49.7%
2286330.4 2
 
0.1%
253403.5 1
 
0.1%
666496 1
 
0.1%
238090.7 1
 
0.1%
32520370 1
 
0.1%
616719.2 1
 
0.1%
377394 1
 
0.1%
10309916 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T21:16:19.610792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1976
15.3%
l 1976
15.3%
N 988
7.6%
t 988
7.6%
988
7.6%
A 988
7.6%
v 988
7.6%
i 988
7.6%
b 988
7.6%
e 988
7.6%
Other values (12) 1085
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9880
76.3%
Uppercase Letter 1976
 
15.3%
Space Separator 988
 
7.6%
Decimal Number 89
 
0.7%
Other Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 14
15.7%
2 12
13.5%
6 11
12.4%
0 11
12.4%
4 11
12.4%
9 8
9.0%
5 6
6.7%
7 6
6.7%
8 5
 
5.6%
1 5
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 1976
20.0%
l 1976
20.0%
t 988
10.0%
v 988
10.0%
i 988
10.0%
b 988
10.0%
e 988
10.0%
o 988
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 988
50.0%
A 988
50.0%
Space Separator
ValueCountFrequency (%)
988
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11856
91.6%
Common 1085
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
988
91.1%
3 14
 
1.3%
2 12
 
1.1%
6 11
 
1.0%
0 11
 
1.0%
4 11
 
1.0%
. 8
 
0.7%
9 8
 
0.7%
5 6
 
0.6%
7 6
 
0.6%
Other values (2) 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1976
16.7%
l 1976
16.7%
N 988
8.3%
t 988
8.3%
A 988
8.3%
v 988
8.3%
i 988
8.3%
b 988
8.3%
e 988
8.3%
o 988
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1976
15.3%
l 1976
15.3%
N 988
7.6%
t 988
7.6%
988
7.6%
A 988
7.6%
v 988
7.6%
i 988
7.6%
b 988
7.6%
e 988
7.6%
Other values (12) 1085
8.4%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:19.815153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.947
Min length8

Characters and Unicode

Total characters12947
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 985
49.6%
available 985
49.6%
26055204 2
 
0.1%
1628180.7 2
 
0.1%
370604738.1 1
 
0.1%
2887806.9 1
 
0.1%
117492627.5 1
 
0.1%
52586748.8 1
 
0.1%
174596577.1 1
 
0.1%
7595441.7 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T21:16:20.143314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1970
15.2%
l 1970
15.2%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1127
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9850
76.1%
Uppercase Letter 1970
 
15.2%
Space Separator 985
 
7.6%
Decimal Number 129
 
1.0%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
12.4%
0 16
12.4%
7 15
11.6%
8 15
11.6%
2 15
11.6%
5 14
10.9%
4 12
9.3%
6 10
7.8%
3 8
6.2%
9 8
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1970
20.0%
l 1970
20.0%
t 985
10.0%
v 985
10.0%
i 985
10.0%
b 985
10.0%
e 985
10.0%
o 985
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 985
50.0%
A 985
50.0%
Space Separator
ValueCountFrequency (%)
985
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11820
91.3%
Common 1127
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
985
87.4%
1 16
 
1.4%
0 16
 
1.4%
7 15
 
1.3%
8 15
 
1.3%
2 15
 
1.3%
5 14
 
1.2%
. 13
 
1.2%
4 12
 
1.1%
6 10
 
0.9%
Other values (2) 16
 
1.4%
Latin
ValueCountFrequency (%)
a 1970
16.7%
l 1970
16.7%
N 985
8.3%
t 985
8.3%
A 985
8.3%
v 985
8.3%
i 985
8.3%
b 985
8.3%
e 985
8.3%
o 985
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1970
15.2%
l 1970
15.2%
N 985
7.6%
t 985
7.6%
985
7.6%
A 985
7.6%
v 985
7.6%
i 985
7.6%
b 985
7.6%
e 985
7.6%
Other values (12) 1127
8.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T21:16:20.318732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.902
Min length4

Characters and Unicode

Total characters11902
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.82
2nd row1.82
3rd row1.82
4th row1.82
5th row1.82
ValueCountFrequency (%)
not 878
46.8%
available 878
46.8%
1.82 122
 
6.5%
2023-12-09T21:16:20.594006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1756
14.8%
l 1756
14.8%
N 878
7.4%
o 878
7.4%
t 878
7.4%
878
7.4%
A 878
7.4%
v 878
7.4%
i 878
7.4%
b 878
7.4%
Other values (5) 1366
11.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8780
73.8%
Uppercase Letter 1756
 
14.8%
Space Separator 878
 
7.4%
Decimal Number 366
 
3.1%
Other Punctuation 122
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1756
20.0%
l 1756
20.0%
o 878
10.0%
t 878
10.0%
v 878
10.0%
i 878
10.0%
b 878
10.0%
e 878
10.0%
Decimal Number
ValueCountFrequency (%)
1 122
33.3%
8 122
33.3%
2 122
33.3%
Uppercase Letter
ValueCountFrequency (%)
N 878
50.0%
A 878
50.0%
Space Separator
ValueCountFrequency (%)
878
100.0%
Other Punctuation
ValueCountFrequency (%)
. 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10536
88.5%
Common 1366
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1756
16.7%
l 1756
16.7%
N 878
8.3%
o 878
8.3%
t 878
8.3%
A 878
8.3%
v 878
8.3%
i 878
8.3%
b 878
8.3%
e 878
8.3%
Common
ValueCountFrequency (%)
878
64.3%
1 122
 
8.9%
. 122
 
8.9%
8 122
 
8.9%
2 122
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1756
14.8%
l 1756
14.8%
N 878
7.4%
o 878
7.4%
t 878
7.4%
878
7.4%
A 878
7.4%
v 878
7.4%
i 878
7.4%
b 878
7.4%
Other values (5) 1366
11.5%
Distinct120
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T21:16:20.978529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.861
Min length1

Characters and Unicode

Total characters11861
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)10.8%

Sample

1st row24763
2nd row3434
3rd row5608
4th row2158
5th row27862
ValueCountFrequency (%)
not 869
46.5%
available 869
46.5%
0 3
 
0.2%
17030 2
 
0.1%
15400 2
 
0.1%
4795 2
 
0.1%
4404 2
 
0.1%
50700 2
 
0.1%
8700 2
 
0.1%
1100 2
 
0.1%
Other values (111) 114
 
6.1%
2023-12-09T21:16:21.499317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1738
14.7%
l 1738
14.7%
N 869
7.3%
o 869
7.3%
b 869
7.3%
i 869
7.3%
e 869
7.3%
v 869
7.3%
A 869
7.3%
869
7.3%
Other values (11) 1433
12.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8690
73.3%
Uppercase Letter 1738
 
14.7%
Space Separator 869
 
7.3%
Decimal Number 564
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 137
24.3%
1 60
10.6%
4 59
10.5%
5 58
10.3%
7 52
 
9.2%
3 45
 
8.0%
2 42
 
7.4%
6 41
 
7.3%
8 39
 
6.9%
9 31
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
a 1738
20.0%
l 1738
20.0%
o 869
10.0%
b 869
10.0%
i 869
10.0%
e 869
10.0%
v 869
10.0%
t 869
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 869
50.0%
A 869
50.0%
Space Separator
ValueCountFrequency (%)
869
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10428
87.9%
Common 1433
 
12.1%

Most frequent character per script

Common
ValueCountFrequency (%)
869
60.6%
0 137
 
9.6%
1 60
 
4.2%
4 59
 
4.1%
5 58
 
4.0%
7 52
 
3.6%
3 45
 
3.1%
2 42
 
2.9%
6 41
 
2.9%
8 39
 
2.7%
Latin
ValueCountFrequency (%)
a 1738
16.7%
l 1738
16.7%
N 869
8.3%
o 869
8.3%
b 869
8.3%
i 869
8.3%
e 869
8.3%
v 869
8.3%
A 869
8.3%
t 869
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1738
14.7%
l 1738
14.7%
N 869
7.3%
o 869
7.3%
b 869
7.3%
i 869
7.3%
e 869
7.3%
v 869
7.3%
A 869
7.3%
869
7.3%
Other values (11) 1433
12.1%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T21:16:21.724768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.569
Min length1

Characters and Unicode

Total characters11569
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
not 869
46.5%
available 869
46.5%
0 110
 
5.9%
26055204 2
 
0.1%
1628181 2
 
0.1%
40310519 1
 
0.1%
370604738 1
 
0.1%
4000024 1
 
0.1%
15076125 1
 
0.1%
2713300 1
 
0.1%
Other values (12) 12
 
0.6%
2023-12-09T21:16:22.052015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1738
15.0%
l 1738
15.0%
N 869
7.5%
o 869
7.5%
b 869
7.5%
i 869
7.5%
e 869
7.5%
v 869
7.5%
A 869
7.5%
869
7.5%
Other values (11) 1141
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8690
75.1%
Uppercase Letter 1738
 
15.0%
Space Separator 869
 
7.5%
Decimal Number 272
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 132
48.5%
1 22
 
8.1%
2 20
 
7.4%
6 19
 
7.0%
4 15
 
5.5%
8 15
 
5.5%
7 15
 
5.5%
5 14
 
5.1%
9 11
 
4.0%
3 9
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1738
20.0%
l 1738
20.0%
o 869
10.0%
b 869
10.0%
i 869
10.0%
e 869
10.0%
v 869
10.0%
t 869
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 869
50.0%
A 869
50.0%
Space Separator
ValueCountFrequency (%)
869
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10428
90.1%
Common 1141
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
869
76.2%
0 132
 
11.6%
1 22
 
1.9%
2 20
 
1.8%
6 19
 
1.7%
4 15
 
1.3%
8 15
 
1.3%
7 15
 
1.3%
5 14
 
1.2%
9 11
 
1.0%
Latin
ValueCountFrequency (%)
a 1738
16.7%
l 1738
16.7%
N 869
8.3%
o 869
8.3%
b 869
8.3%
i 869
8.3%
e 869
8.3%
v 869
8.3%
A 869
8.3%
t 869
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11569
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1738
15.0%
l 1738
15.0%
N 869
7.5%
o 869
7.5%
b 869
7.5%
i 869
7.5%
e 869
7.5%
v 869
7.5%
A 869
7.5%
869
7.5%
Other values (11) 1141
9.9%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size75.6 KiB
2023-12-09T21:16:22.282405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length74
Median length13
Mean length20.309
Min length13

Characters and Unicode

Total characters20309
Distinct characters39
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowIT Energy is not currently metered at this facility - Apply estimates.
2nd rowIT Energy is not currently metered at this facility - Apply estimates.
3rd rowIT Energy is not currently metered at this facility - Apply estimates.
4th rowIT Energy is not currently metered at this facility - Apply estimates.
5th rowIT Energy is not currently metered at this facility - Apply estimates.
ValueCountFrequency (%)
not 982
30.3%
available 869
26.8%
it 124
 
3.8%
facility 115
 
3.5%
is 114
 
3.5%
energy 112
 
3.5%
currently 112
 
3.5%
metered 112
 
3.5%
at 112
 
3.5%
this 112
 
3.5%
Other values (23) 477
14.7%
2023-12-09T21:16:22.632619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2241
11.0%
l 2125
10.5%
a 2090
10.3%
t 1823
 
9.0%
e 1765
 
8.7%
i 1477
 
7.3%
o 1037
 
5.1%
A 981
 
4.8%
b 883
 
4.3%
N 871
 
4.3%
Other values (29) 5016
24.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15423
75.9%
Uppercase Letter 2332
 
11.5%
Space Separator 2241
 
11.0%
Other Punctuation 137
 
0.7%
Dash Punctuation 120
 
0.6%
Open Punctuation 24
 
0.1%
Close Punctuation 24
 
0.1%
Decimal Number 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2125
13.8%
a 2090
13.6%
t 1823
11.8%
e 1765
11.4%
i 1477
9.6%
o 1037
6.7%
b 883
 
5.7%
v 869
 
5.6%
r 540
 
3.5%
s 487
 
3.2%
Other values (12) 2327
15.1%
Uppercase Letter
ValueCountFrequency (%)
A 981
42.1%
N 871
37.3%
T 130
 
5.6%
I 130
 
5.6%
E 112
 
4.8%
P 43
 
1.8%
S 31
 
1.3%
U 31
 
1.3%
F 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 133
97.1%
% 4
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
0 4
50.0%
Space Separator
ValueCountFrequency (%)
2241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17755
87.4%
Common 2554
 
12.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2125
12.0%
a 2090
11.8%
t 1823
10.3%
e 1765
9.9%
i 1477
 
8.3%
o 1037
 
5.8%
A 981
 
5.5%
b 883
 
5.0%
N 871
 
4.9%
v 869
 
4.9%
Other values (21) 3834
21.6%
Common
ValueCountFrequency (%)
2241
87.7%
. 133
 
5.2%
- 120
 
4.7%
( 24
 
0.9%
) 24
 
0.9%
1 4
 
0.2%
0 4
 
0.2%
% 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2241
11.0%
l 2125
10.5%
a 2090
10.3%
t 1823
 
9.0%
e 1765
 
8.7%
i 1477
 
7.3%
o 1037
 
5.1%
A 981
 
4.8%
b 883
 
4.3%
N 871
 
4.3%
Other values (29) 5016
24.7%
Distinct379
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size64.3 KiB
2023-12-09T21:16:23.068872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.681
Min length1

Characters and Unicode

Total characters8681
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)36.1%

Sample

1st rowNot Available
2nd row8267.2
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 473
32.1%
available 473
32.1%
0 134
 
9.1%
2766.9 2
 
0.1%
19220.6 2
 
0.1%
3932.3 2
 
0.1%
9795.6 2
 
0.1%
15041.2 2
 
0.1%
29236.7 2
 
0.1%
32232.3 2
 
0.1%
Other values (370) 379
25.7%
2023-12-09T21:16:23.640020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 946
 
10.9%
l 946
 
10.9%
N 473
 
5.4%
t 473
 
5.4%
473
 
5.4%
A 473
 
5.4%
v 473
 
5.4%
i 473
 
5.4%
b 473
 
5.4%
e 473
 
5.4%
Other values (12) 3005
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4730
54.5%
Decimal Number 2170
25.0%
Uppercase Letter 946
 
10.9%
Space Separator 473
 
5.4%
Other Punctuation 362
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 281
12.9%
1 279
12.9%
0 279
12.9%
7 214
9.9%
3 207
9.5%
4 194
8.9%
6 191
8.8%
9 181
8.3%
5 174
8.0%
8 170
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 946
20.0%
l 946
20.0%
t 473
10.0%
v 473
10.0%
i 473
10.0%
b 473
10.0%
e 473
10.0%
o 473
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 473
50.0%
A 473
50.0%
Space Separator
ValueCountFrequency (%)
473
100.0%
Other Punctuation
ValueCountFrequency (%)
. 362
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5676
65.4%
Common 3005
34.6%

Most frequent character per script

Common
ValueCountFrequency (%)
473
15.7%
. 362
12.0%
2 281
9.4%
1 279
9.3%
0 279
9.3%
7 214
7.1%
3 207
6.9%
4 194
6.5%
6 191
6.4%
9 181
 
6.0%
Other values (2) 344
11.4%
Latin
ValueCountFrequency (%)
a 946
16.7%
l 946
16.7%
N 473
8.3%
t 473
8.3%
A 473
8.3%
v 473
8.3%
i 473
8.3%
b 473
8.3%
e 473
8.3%
o 473
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8681
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 946
 
10.9%
l 946
 
10.9%
N 473
 
5.4%
t 473
 
5.4%
473
 
5.4%
A 473
 
5.4%
v 473
 
5.4%
i 473
 
5.4%
b 473
 
5.4%
e 473
 
5.4%
Other values (12) 3005
34.6%
Distinct370
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
2023-12-09T21:16:24.142757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length8.186
Min length1

Characters and Unicode

Total characters8186
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique343 ?
Unique (%)34.3%

Sample

1st rowNot Available
2nd row21.51
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 473
32.1%
available 473
32.1%
0 134
 
9.1%
69.61 2
 
0.1%
14.29 2
 
0.1%
66 2
 
0.1%
294.63 2
 
0.1%
17.06 2
 
0.1%
12.92 2
 
0.1%
17.09 2
 
0.1%
Other values (361) 379
25.7%
2023-12-09T21:16:24.771552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 946
 
11.6%
l 946
 
11.6%
N 473
 
5.8%
t 473
 
5.8%
473
 
5.8%
A 473
 
5.8%
v 473
 
5.8%
i 473
 
5.8%
b 473
 
5.8%
e 473
 
5.8%
Other values (12) 2510
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4730
57.8%
Decimal Number 1655
 
20.2%
Uppercase Letter 946
 
11.6%
Space Separator 473
 
5.8%
Other Punctuation 382
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 232
14.0%
0 217
13.1%
2 212
12.8%
4 155
9.4%
5 151
9.1%
3 147
8.9%
8 141
8.5%
6 136
8.2%
7 135
8.2%
9 129
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 946
20.0%
l 946
20.0%
t 473
10.0%
v 473
10.0%
i 473
10.0%
b 473
10.0%
e 473
10.0%
o 473
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 473
50.0%
A 473
50.0%
Space Separator
ValueCountFrequency (%)
473
100.0%
Other Punctuation
ValueCountFrequency (%)
. 382
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5676
69.3%
Common 2510
30.7%

Most frequent character per script

Common
ValueCountFrequency (%)
473
18.8%
. 382
15.2%
1 232
9.2%
0 217
8.6%
2 212
8.4%
4 155
 
6.2%
5 151
 
6.0%
3 147
 
5.9%
8 141
 
5.6%
6 136
 
5.4%
Other values (2) 264
10.5%
Latin
ValueCountFrequency (%)
a 946
16.7%
l 946
16.7%
N 473
8.3%
t 473
8.3%
A 473
8.3%
v 473
8.3%
i 473
8.3%
b 473
8.3%
e 473
8.3%
o 473
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8186
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 946
 
11.6%
l 946
 
11.6%
N 473
 
5.8%
t 473
 
5.8%
473
 
5.8%
A 473
 
5.8%
v 473
 
5.8%
i 473
 
5.8%
b 473
 
5.8%
e 473
 
5.8%
Other values (12) 2510
30.7%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:16:24.986875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.883
Min length1

Characters and Unicode

Total characters12883
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
12196.9 2
 
0.1%
7892.3 2
 
0.1%
278143.8 1
 
0.1%
11766.8 1
 
0.1%
1477.7 1
 
0.1%
8682.9 1
 
0.1%
0 1
 
0.1%
35436.8 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T21:16:25.313833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
t 983
7.6%
983
7.6%
A 983
7.6%
v 983
7.6%
i 983
7.6%
b 983
7.6%
e 983
7.6%
Other values (12) 1087
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.3%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.6%
Decimal Number 89
 
0.7%
Other Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
15.7%
8 12
13.5%
2 11
12.4%
7 11
12.4%
9 10
11.2%
6 9
10.1%
4 8
9.0%
3 7
7.9%
5 4
 
4.5%
0 3
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
o 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.6%
Common 1087
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
983
90.4%
. 15
 
1.4%
1 14
 
1.3%
8 12
 
1.1%
2 11
 
1.0%
7 11
 
1.0%
9 10
 
0.9%
6 9
 
0.8%
4 8
 
0.7%
3 7
 
0.6%
Other values (2) 7
 
0.6%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
o 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12883
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.6%
t 983
7.6%
983
7.6%
A 983
7.6%
v 983
7.6%
i 983
7.6%
b 983
7.6%
e 983
7.6%
Other values (12) 1087
8.4%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-09T21:16:25.557873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length111
Median length13
Mean length19.08
Min length13

Characters and Unicode

Total characters19080
Distinct characters32
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 812
24.7%
available 810
24.6%
water 127
 
3.9%
for 127
 
3.9%
the 127
 
3.9%
there 125
 
3.8%
is 125
 
3.8%
no 125
 
3.8%
use 125
 
3.8%
time 125
 
3.8%
Other values (28) 660
20.1%
2023-12-09T21:16:25.911110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2288
12.0%
e 2114
11.1%
a 2002
10.5%
l 1628
 
8.5%
i 1452
 
7.6%
t 1340
 
7.0%
o 1261
 
6.6%
b 878
 
4.6%
v 814
 
4.3%
N 810
 
4.2%
Other values (22) 4493
23.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14663
76.9%
Space Separator 2288
 
12.0%
Uppercase Letter 1812
 
9.5%
Math Symbol 130
 
0.7%
Other Punctuation 127
 
0.7%
Decimal Number 60
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2114
14.4%
a 2002
13.7%
l 1628
11.1%
i 1452
9.9%
t 1340
9.1%
o 1261
8.6%
b 878
6.0%
v 814
 
5.6%
r 653
 
4.5%
s 513
 
3.5%
Other values (11) 2008
13.7%
Uppercase Letter
ValueCountFrequency (%)
N 810
44.7%
A 810
44.7%
T 127
 
7.0%
L 60
 
3.3%
G 3
 
0.2%
O 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 65
50.0%
> 65
50.0%
Space Separator
ValueCountFrequency (%)
2288
100.0%
Other Punctuation
ValueCountFrequency (%)
. 127
100.0%
Decimal Number
ValueCountFrequency (%)
1 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16475
86.3%
Common 2605
 
13.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2114
12.8%
a 2002
12.2%
l 1628
9.9%
i 1452
8.8%
t 1340
 
8.1%
o 1261
 
7.7%
b 878
 
5.3%
v 814
 
4.9%
N 810
 
4.9%
A 810
 
4.9%
Other values (17) 3366
20.4%
Common
ValueCountFrequency (%)
2288
87.8%
. 127
 
4.9%
< 65
 
2.5%
> 65
 
2.5%
1 60
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2288
12.0%
e 2114
11.1%
a 2002
10.5%
l 1628
 
8.5%
i 1452
 
7.6%
t 1340
 
7.0%
o 1261
 
6.6%
b 878
 
4.6%
v 814
 
4.3%
N 810
 
4.2%
Other values (22) 4493
23.5%
Distinct303
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:16:26.221103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)20.8%

Sample

1st row2013-05-29T16:04:21.000
2nd row2013-05-29T16:04:21.000
3rd row2013-05-29T16:04:21.000
4th row2013-05-29T16:04:21.000
5th row2013-05-29T16:04:21.000
ValueCountFrequency (%)
2013-05-24t12:31:46.000 80
 
8.0%
2013-05-15t10:33:11.000 77
 
7.7%
2013-04-28t08:40:20.000 48
 
4.8%
2013-04-21t13:51:51.000 40
 
4.0%
2013-05-28t09:53:26.000 37
 
3.7%
2013-05-29t12:05:35.000 27
 
2.7%
2013-04-18t11:22:43.000 23
 
2.3%
2013-05-10t09:43:41.000 20
 
2.0%
2013-05-31t00:35:15.000 20
 
2.0%
2013-04-17t12:09:15.000 17
 
1.7%
Other values (293) 611
61.1%
2023-12-09T21:16:26.667965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6136
26.7%
1 2901
12.6%
2 2230
 
9.7%
- 2000
 
8.7%
: 2000
 
8.7%
3 1912
 
8.3%
5 1234
 
5.4%
4 1148
 
5.0%
T 1000
 
4.3%
. 1000
 
4.3%
Other values (4) 1439
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6136
36.1%
1 2901
17.1%
2 2230
 
13.1%
3 1912
 
11.2%
5 1234
 
7.3%
4 1148
 
6.8%
9 413
 
2.4%
6 392
 
2.3%
8 391
 
2.3%
7 243
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6136
27.9%
1 2901
13.2%
2 2230
 
10.1%
- 2000
 
9.1%
: 2000
 
9.1%
3 1912
 
8.7%
5 1234
 
5.6%
4 1148
 
5.2%
. 1000
 
4.5%
9 413
 
1.9%
Other values (3) 1026
 
4.7%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6136
26.7%
1 2901
12.6%
2 2230
 
9.7%
- 2000
 
8.7%
: 2000
 
8.7%
3 1912
 
8.3%
5 1234
 
5.4%
4 1148
 
5.0%
T 1000
 
4.3%
. 1000
 
4.3%
Other values (4) 1439
 
6.3%
Distinct218
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:16:26.998668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)12.4%

Sample

1st row2013-05-29T12:04:20.000
2nd row2013-05-29T12:04:20.000
3rd row2013-05-29T12:04:20.000
4th row2013-05-29T12:04:20.000
5th row2013-05-29T12:04:20.000
ValueCountFrequency (%)
2013-05-31t12:02:12.000 132
 
13.2%
2013-05-15t06:33:10.000 77
 
7.7%
2013-06-17t07:12:30.000 40
 
4.0%
2013-05-28t05:53:25.000 37
 
3.7%
2013-05-30t05:49:08.000 30
 
3.0%
2013-05-29t08:05:34.000 27
 
2.7%
2013-05-30t10:19:25.000 22
 
2.2%
2013-05-31t10:34:46.000 21
 
2.1%
2013-06-13t14:07:11.000 20
 
2.0%
2013-06-06t14:24:46.000 18
 
1.8%
Other values (208) 576
57.6%
2023-12-09T21:16:27.451906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6603
28.7%
1 2519
 
11.0%
2 2208
 
9.6%
3 2035
 
8.8%
- 2000
 
8.7%
: 2000
 
8.7%
5 1336
 
5.8%
T 1000
 
4.3%
. 1000
 
4.3%
4 801
 
3.5%
Other values (4) 1498
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6603
38.8%
1 2519
 
14.8%
2 2208
 
13.0%
3 2035
 
12.0%
5 1336
 
7.9%
4 801
 
4.7%
6 493
 
2.9%
7 353
 
2.1%
8 332
 
2.0%
9 320
 
1.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6603
30.0%
1 2519
 
11.5%
2 2208
 
10.0%
3 2035
 
9.2%
- 2000
 
9.1%
: 2000
 
9.1%
5 1336
 
6.1%
. 1000
 
4.5%
4 801
 
3.6%
6 493
 
2.2%
Other values (3) 1005
 
4.6%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6603
28.7%
1 2519
 
11.0%
2 2208
 
9.6%
3 2035
 
8.8%
- 2000
 
8.7%
: 2000
 
8.7%
5 1336
 
5.8%
T 1000
 
4.3%
. 1000
 
4.3%
4 801
 
3.5%
Other values (4) 1498
 
6.5%

borough
Text

MISSING 

Distinct5
Distinct (%)0.6%
Missing118
Missing (%)11.8%
Memory size60.0 KiB
2023-12-09T21:16:27.631567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.183673469
Min length5

Characters and Unicode

Total characters7218
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMANHATTAN
2nd rowMANHATTAN
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowMANHATTAN
ValueCountFrequency (%)
manhattan 618
68.9%
bronx 109
 
12.2%
queens 72
 
8.0%
brooklyn 68
 
7.6%
staten 15
 
1.7%
is 15
 
1.7%
2023-12-09T21:16:27.957770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 1869
25.9%
N 1500
20.8%
T 1266
17.5%
M 618
 
8.6%
H 618
 
8.6%
O 245
 
3.4%
B 177
 
2.5%
R 177
 
2.5%
E 159
 
2.2%
X 109
 
1.5%
Other values (8) 480
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7203
99.8%
Space Separator 15
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1869
25.9%
N 1500
20.8%
T 1266
17.6%
M 618
 
8.6%
H 618
 
8.6%
O 245
 
3.4%
B 177
 
2.5%
R 177
 
2.5%
E 159
 
2.2%
X 109
 
1.5%
Other values (7) 465
 
6.5%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7203
99.8%
Common 15
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1869
25.9%
N 1500
20.8%
T 1266
17.6%
M 618
 
8.6%
H 618
 
8.6%
O 245
 
3.4%
B 177
 
2.5%
R 177
 
2.5%
E 159
 
2.2%
X 109
 
1.5%
Other values (7) 465
 
6.5%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 1869
25.9%
N 1500
20.8%
T 1266
17.5%
M 618
 
8.6%
H 618
 
8.6%
O 245
 
3.4%
B 177
 
2.5%
R 177
 
2.5%
E 159
 
2.2%
X 109
 
1.5%
Other values (8) 480
 
6.7%

latitude
Text

MISSING 

Distinct801
Distinct (%)91.0%
Missing120
Missing (%)12.0%
Memory size60.5 KiB
2023-12-09T21:16:28.325141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.889772727
Min length7

Characters and Unicode

Total characters7823
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique759 ?
Unique (%)86.2%

Sample

1st row40.756631
2nd row40.750698
3rd row40.75831
4th row40.753074
5th row40.756181
ValueCountFrequency (%)
40.852799 34
 
3.9%
40.768051 6
 
0.7%
40.747571 3
 
0.3%
40.788619 2
 
0.2%
40.775481 2
 
0.2%
40.860342 2
 
0.2%
40.846497 2
 
0.2%
40.750156 2
 
0.2%
40.767824 2
 
0.2%
40.827792 2
 
0.2%
Other values (791) 823
93.5%
2023-12-09T21:16:28.867915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1345
17.2%
0 1204
15.4%
7 1082
13.8%
. 880
11.2%
5 588
7.5%
8 534
 
6.8%
6 531
 
6.8%
9 462
 
5.9%
2 432
 
5.5%
3 409
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6943
88.8%
Other Punctuation 880
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1345
19.4%
0 1204
17.3%
7 1082
15.6%
5 588
8.5%
8 534
 
7.7%
6 531
 
7.6%
9 462
 
6.7%
2 432
 
6.2%
3 409
 
5.9%
1 356
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 880
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7823
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1345
17.2%
0 1204
15.4%
7 1082
13.8%
. 880
11.2%
5 588
7.5%
8 534
 
6.8%
6 531
 
6.8%
9 462
 
5.9%
2 432
 
5.5%
3 409
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7823
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1345
17.2%
0 1204
15.4%
7 1082
13.8%
. 880
11.2%
5 588
7.5%
8 534
 
6.8%
6 531
 
6.8%
9 462
 
5.9%
2 432
 
5.5%
3 409
 
5.2%

longitude
Text

MISSING 

Distinct804
Distinct (%)91.4%
Missing120
Missing (%)12.0%
Memory size61.4 KiB
2023-12-09T21:16:29.250004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length10
Mean length9.903409091
Min length7

Characters and Unicode

Total characters8715
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique764 ?
Unique (%)86.8%

Sample

1st row-73.982826
2nd row-73.974306
3rd row-73.982504
4th row-73.972753
5th row-73.986244
ValueCountFrequency (%)
73.853325 34
 
3.9%
73.89144 6
 
0.7%
73.907437 2
 
0.2%
73.972757 2
 
0.2%
73.951902 2
 
0.2%
74.011925 2
 
0.2%
73.909313 2
 
0.2%
73.979457 2
 
0.2%
73.943731 2
 
0.2%
73.95831 2
 
0.2%
Other values (794) 824
93.6%
2023-12-09T21:16:29.745324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1410
16.2%
3 1191
13.7%
9 1093
12.5%
- 880
10.1%
. 880
10.1%
8 573
6.6%
5 503
 
5.8%
4 485
 
5.6%
2 439
 
5.0%
0 429
 
4.9%
Other values (2) 832
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6955
79.8%
Dash Punctuation 880
 
10.1%
Other Punctuation 880
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1410
20.3%
3 1191
17.1%
9 1093
15.7%
8 573
8.2%
5 503
 
7.2%
4 485
 
7.0%
2 439
 
6.3%
0 429
 
6.2%
6 423
 
6.1%
1 409
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 880
100.0%
Other Punctuation
ValueCountFrequency (%)
. 880
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1410
16.2%
3 1191
13.7%
9 1093
12.5%
- 880
10.1%
. 880
10.1%
8 573
6.6%
5 503
 
5.8%
4 485
 
5.6%
2 439
 
5.0%
0 429
 
4.9%
Other values (2) 832
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1410
16.2%
3 1191
13.7%
9 1093
12.5%
- 880
10.1%
. 880
10.1%
8 573
6.6%
5 503
 
5.8%
4 485
 
5.6%
2 439
 
5.0%
0 429
 
4.9%
Other values (2) 832
9.5%

community_board
Text

MISSING 

Distinct52
Distinct (%)5.9%
Missing120
Missing (%)12.0%
Memory size55.4 KiB
2023-12-09T21:16:29.995615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2640
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.7%

Sample

1st row105
2nd row106
3rd row105
4th row106
5th row105
ValueCountFrequency (%)
105 214
24.3%
108 89
 
10.1%
106 74
 
8.4%
101 59
 
6.7%
104 51
 
5.8%
102 43
 
4.9%
107 38
 
4.3%
211 35
 
4.0%
112 17
 
1.9%
109 16
 
1.8%
Other values (42) 244
27.7%
2023-12-09T21:16:30.350132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 873
33.1%
0 760
28.8%
5 256
 
9.7%
2 209
 
7.9%
4 157
 
5.9%
8 113
 
4.3%
3 98
 
3.7%
6 88
 
3.3%
7 59
 
2.2%
9 27
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2640
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 873
33.1%
0 760
28.8%
5 256
 
9.7%
2 209
 
7.9%
4 157
 
5.9%
8 113
 
4.3%
3 98
 
3.7%
6 88
 
3.3%
7 59
 
2.2%
9 27
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 873
33.1%
0 760
28.8%
5 256
 
9.7%
2 209
 
7.9%
4 157
 
5.9%
8 113
 
4.3%
3 98
 
3.7%
6 88
 
3.3%
7 59
 
2.2%
9 27
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 873
33.1%
0 760
28.8%
5 256
 
9.7%
2 209
 
7.9%
4 157
 
5.9%
8 113
 
4.3%
3 98
 
3.7%
6 88
 
3.3%
7 59
 
2.2%
9 27
 
1.0%

council_district
Text

MISSING 

Distinct47
Distinct (%)5.3%
Missing120
Missing (%)12.0%
Memory size54.0 KiB
2023-12-09T21:16:30.551818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.306818182
Min length1

Characters and Unicode

Total characters1150
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.6%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
4 266
30.2%
3 124
14.1%
1 71
 
8.1%
2 43
 
4.9%
6 37
 
4.2%
5 36
 
4.1%
13 36
 
4.1%
14 19
 
2.2%
7 18
 
2.0%
10 14
 
1.6%
Other values (37) 216
24.5%
2023-12-09T21:16:30.873938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 352
30.6%
3 209
18.2%
1 208
18.1%
2 118
 
10.3%
6 68
 
5.9%
5 65
 
5.7%
0 43
 
3.7%
7 34
 
3.0%
9 28
 
2.4%
8 25
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1150
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 352
30.6%
3 209
18.2%
1 208
18.1%
2 118
 
10.3%
6 68
 
5.9%
5 65
 
5.7%
0 43
 
3.7%
7 34
 
3.0%
9 28
 
2.4%
8 25
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1150
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 352
30.6%
3 209
18.2%
1 208
18.1%
2 118
 
10.3%
6 68
 
5.9%
5 65
 
5.7%
0 43
 
3.7%
7 34
 
3.0%
9 28
 
2.4%
8 25
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 352
30.6%
3 209
18.2%
1 208
18.1%
2 118
 
10.3%
6 68
 
5.9%
5 65
 
5.7%
0 43
 
3.7%
7 34
 
3.0%
9 28
 
2.4%
8 25
 
2.2%

census_tract
Text

MISSING 

Distinct283
Distinct (%)32.2%
Missing120
Missing (%)12.0%
Memory size55.4 KiB
2023-12-09T21:16:31.372996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.997727273
Min length1

Characters and Unicode

Total characters2638
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)15.3%

Sample

1st row119
2nd row88
3rd row125
4th row90
5th row119
ValueCountFrequency (%)
250 34
 
3.9%
137 18
 
2.0%
102 17
 
1.9%
104 15
 
1.7%
94 15
 
1.7%
96 13
 
1.5%
82 12
 
1.4%
100 12
 
1.4%
37 12
 
1.4%
7 12
 
1.4%
Other values (273) 720
81.8%
2023-12-09T21:16:32.008016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 628
23.8%
2 373
14.1%
0 355
13.5%
5 231
 
8.8%
3 222
 
8.4%
9 205
 
7.8%
7 170
 
6.4%
4 169
 
6.4%
8 146
 
5.5%
6 139
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2638
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 628
23.8%
2 373
14.1%
0 355
13.5%
5 231
 
8.8%
3 222
 
8.4%
9 205
 
7.8%
7 170
 
6.4%
4 169
 
6.4%
8 146
 
5.5%
6 139
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2638
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 628
23.8%
2 373
14.1%
0 355
13.5%
5 231
 
8.8%
3 222
 
8.4%
9 205
 
7.8%
7 170
 
6.4%
4 169
 
6.4%
8 146
 
5.5%
6 139
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2638
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 628
23.8%
2 373
14.1%
0 355
13.5%
5 231
 
8.8%
3 222
 
8.4%
9 205
 
7.8%
7 170
 
6.4%
4 169
 
6.4%
8 146
 
5.5%
6 139
 
5.3%

bin
Text

MISSING 

Distinct797
Distinct (%)90.9%
Missing123
Missing (%)12.3%
Memory size58.8 KiB
2023-12-09T21:16:32.375545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters6139
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique756 ?
Unique (%)86.2%

Sample

1st row1022631
2nd row1037545
3rd row1022667
4th row1037596
5th row1085682
ValueCountFrequency (%)
2048553 34
 
3.9%
4449269 6
 
0.7%
1000000 5
 
0.6%
1016880 2
 
0.2%
4539429 2
 
0.2%
1010382 2
 
0.2%
1077284 2
 
0.2%
1051459 2
 
0.2%
2014757 2
 
0.2%
2007862 2
 
0.2%
Other values (787) 818
93.3%
2023-12-09T21:16:32.857813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1259
20.5%
1 1143
18.6%
3 556
9.1%
4 551
9.0%
2 507
8.3%
5 501
 
8.2%
8 458
 
7.5%
6 438
 
7.1%
7 416
 
6.8%
9 310
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6139
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1259
20.5%
1 1143
18.6%
3 556
9.1%
4 551
9.0%
2 507
8.3%
5 501
 
8.2%
8 458
 
7.5%
6 438
 
7.1%
7 416
 
6.8%
9 310
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1259
20.5%
1 1143
18.6%
3 556
9.1%
4 551
9.0%
2 507
8.3%
5 501
 
8.2%
8 458
 
7.5%
6 438
 
7.1%
7 416
 
6.8%
9 310
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1259
20.5%
1 1143
18.6%
3 556
9.1%
4 551
9.0%
2 507
8.3%
5 501
 
8.2%
8 458
 
7.5%
6 438
 
7.1%
7 416
 
6.8%
9 310
 
5.0%

bbl
Text

MISSING 

Distinct788
Distinct (%)89.9%
Missing123
Missing (%)12.3%
Memory size61.3 KiB
2023-12-09T21:16:33.242016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.989737742
Min length1

Characters and Unicode

Total characters8761
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique742 ?
Unique (%)84.6%

Sample

1st row1009970029
2nd row1013150001
3rd row1009990019
4th row1013190047
5th row1009950005
ValueCountFrequency (%)
2042730029 34
 
3.9%
4010097501 6
 
0.7%
1012640005 4
 
0.5%
4084890001 4
 
0.5%
1012660001 4
 
0.5%
3064680016 3
 
0.3%
2032330070 2
 
0.2%
4158150071 2
 
0.2%
2025110022 2
 
0.2%
1015090020 2
 
0.2%
Other values (778) 814
92.8%
2023-12-09T21:16:33.723301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3290
37.6%
1 1639
18.7%
2 762
 
8.7%
5 546
 
6.2%
3 544
 
6.2%
7 519
 
5.9%
4 468
 
5.3%
9 358
 
4.1%
8 333
 
3.8%
6 302
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8761
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3290
37.6%
1 1639
18.7%
2 762
 
8.7%
5 546
 
6.2%
3 544
 
6.2%
7 519
 
5.9%
4 468
 
5.3%
9 358
 
4.1%
8 333
 
3.8%
6 302
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Common 8761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3290
37.6%
1 1639
18.7%
2 762
 
8.7%
5 546
 
6.2%
3 544
 
6.2%
7 519
 
5.9%
4 468
 
5.3%
9 358
 
4.1%
8 333
 
3.8%
6 302
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3290
37.6%
1 1639
18.7%
2 762
 
8.7%
5 546
 
6.2%
3 544
 
6.2%
7 519
 
5.9%
4 468
 
5.3%
9 358
 
4.1%
8 333
 
3.8%
6 302
 
3.4%

nta
Text

MISSING 

Distinct111
Distinct (%)12.6%
Missing120
Missing (%)12.0%
Memory size72.6 KiB
2023-12-09T21:16:34.052340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length46
Mean length22.98863636
Min length6

Characters and Unicode

Total characters20230
Distinct characters53
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)4.1%

Sample

1st rowMidtown-Midtown South
2nd rowTurtle Bay-East Midtown
3rd rowMidtown-Midtown South
4th rowTurtle Bay-East Midtown
5th rowMidtown-Midtown South
ValueCountFrequency (%)
south 171
 
7.7%
midtown-midtown 153
 
6.9%
square 79
 
3.6%
hill 73
 
3.3%
east 73
 
3.3%
upper 71
 
3.2%
turtle 69
 
3.1%
bay-east 69
 
3.1%
midtown 69
 
3.1%
park 58
 
2.6%
Other values (167) 1328
60.0%
2023-12-09T21:16:34.541912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1631
 
8.1%
i 1441
 
7.1%
e 1404
 
6.9%
a 1349
 
6.7%
1333
 
6.6%
o 1303
 
6.4%
n 1264
 
6.2%
r 1012
 
5.0%
l 977
 
4.8%
- 834
 
4.1%
Other values (43) 7682
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14909
73.7%
Uppercase Letter 3152
 
15.6%
Space Separator 1333
 
6.6%
Dash Punctuation 834
 
4.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1631
10.9%
i 1441
9.7%
e 1404
9.4%
a 1349
9.0%
o 1303
8.7%
n 1264
8.5%
r 1012
 
6.8%
l 977
 
6.6%
s 805
 
5.4%
d 712
 
4.8%
Other values (15) 3011
20.2%
Uppercase Letter
ValueCountFrequency (%)
M 524
16.6%
S 399
12.7%
H 392
12.4%
C 334
10.6%
B 235
7.5%
P 167
 
5.3%
E 158
 
5.0%
U 149
 
4.7%
L 133
 
4.2%
T 112
 
3.6%
Other values (14) 549
17.4%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
' 1
50.0%
Space Separator
ValueCountFrequency (%)
1333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 834
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18061
89.3%
Common 2169
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1631
 
9.0%
i 1441
 
8.0%
e 1404
 
7.8%
a 1349
 
7.5%
o 1303
 
7.2%
n 1264
 
7.0%
r 1012
 
5.6%
l 977
 
5.4%
s 805
 
4.5%
d 712
 
3.9%
Other values (39) 6163
34.1%
Common
ValueCountFrequency (%)
1333
61.5%
- 834
38.5%
. 1
 
< 0.1%
' 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1631
 
8.1%
i 1441
 
7.1%
e 1404
 
6.9%
a 1349
 
6.7%
1333
 
6.6%
o 1303
 
6.4%
n 1264
 
6.2%
r 1012
 
5.0%
l 977
 
4.8%
- 834
 
4.1%
Other values (43) 7682
38.0%